A tale of two databases: the use of Web of Science and Scopus in academic papers

Knowledge mapping of immunotherapy for breast cancer: A bibliometric analysis from 2013 to 2022

Breast cancer is the leading cause of cancer-related death among women globally. Immunotherapy has emerged as a major milestone in contemporary oncology. This study aims to conduct a bibliometric analysis in the field of immunotherapy for breast cancer, providing a comprehensive overview of the current research status, identifying trends and hotspots in research topics. We searched and retrieved data from the Web of Science Core Collection, and performed a bibliometric analysis of publications on immunotherapy for breast cancer from 2013 to 2022. Current status and hotspots were evaluated by co-occurrence analysis using VOSviewer. Evolution and bursts of knowledge base were assessed by co-citation analysis using CiteSpace. Thematic evolution by bibliometrix package was used to discover keywords trends. The attribution and collaboration of countries/regions, institutions and authors were also explored. A total of 7,975 publications were included. In co-occurrence analysis of keywords, 6 major clusters were revealed: tumor microenvironment, prognosis biomarker, immune checkpoints, novel drug delivery methods, immune cells and therapeutic approaches. The top three most frequently mentioned keywords were tumor microenvironment, triple-negative breast cancer, and programmed cell death ligand 1. The most productive country, institution and author were the USA (2926 publications), the University of Texas MD Anderson Cancer Center (219 publications), and Sherene Loi (28 publications), respectively. There has been a rapid growth in studies on immunotherapy for breast cancer worldwide. This research area has gained increasing attention from different countries and institutions. With the rising incidence of breast cancer, immunotherapy represents a research field of significant clinical value and potential.

Harnessing biotechnology for penicillin production: Opportunities and environmental considerations

Since the discovery of antibiotics, penicillin has remained the top choice in clinical medicine. With continuous advancements in biotechnology, penicillin production has become cost-effective and efficient. Genetic engineering techniques have been employed to enhance biosynthetic pathways, leading to the production of new penicillin derivatives with improved properties and increased efficacy against antibiotic-resistant pathogens. Advances in bioreactor design, media formulation, and process optimization have contributed to higher yields, reduced production costs, and increased penicillin accessibility. While biotechnological advances have clearly benefited the global production of this life-saving drug, they have also created challenges in terms of waste management. Production fermentation broths from industries contain residual antibiotics, by-products, and other contaminants that pose direct environmental threats, while increased global consumption intensifies the risk of antimicrobial resistance in both the environment and living organisms. The current geographical and spatial distribution of antibiotic and penicillin consumption dramatically reveals a worldwide threat. These challenges are being addressed through the development of novel waste management techniques. Efforts are aimed at both upstream and downstream processing of antibiotic and penicillin production to minimize costs and improve yield efficiency while lowering the overall environmental impact. Yield optimization using artificial intelligence (AI), along with biological and chemical treatment of waste, is also being explored to reduce adverse impacts. The implementation of strict regulatory frameworks and guidelines is also essential to ensure proper management and disposal of penicillin production waste. This review is novel because it explores the key remaining challenges in antibiotic development, the scope of machine learning tools such as Quantitative Structure-Activity Relationship (QSAR) in modern biotechnology-driven production, improved waste management for antibiotics, discovering alternative path to reducing antibiotic use in agriculture through alternative meat production, addressing current practices, and offering effective recommendations.

Global dioxin research trends and focal points: A century-long visual and bibliometric analysis (1923-2022)

Dioxin-like compounds, recognized by the World Health Organization (WHO) as among the most enduring toxic chemical substances in the environment, are linked to various occupational activities and industrial accidents worldwide. The aim of this study was to examine and present research publications on dioxins, pinpoint current research trends, identify research gaps, and highlight potential avenues for future exploration in the field. The study period for relevant research articles ranged from 1923 to December 31, 2022, and these articles were sourced from the Scopus database. The analysis involved the identification of key contributors to the field and the visualization of topics, themes, and international collaboration. VOSviewer software (version 1.6.20) was used for visualization analysis. A total of 11,620 publications on dioxins were documented in the Scopus database. The predominant category of these documents comprised 9780 original articles, which represents 84.17% of the total publications. The United States lead in the number of publications, with 3992 (34.35%), followed by Japan, with 1429 (12.3%), China, with 1005 (8.65%), and Germany, with 974 (8.38%). Before 2002, scholarly attention in this field focused primarily on the health effects, environmental fate, and mechanism of toxicity of tetrachlorodibenzo-p-dioxin (TCDD). However, a noticeable change in research focus has been observed since 2002, highlighting the emergence of a topic related to the health effects and environmental fate of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PFDFs). This study is the first to conduct a comprehensive quantitative bibliometric analysis of dioxins over time. These findings indicate a significant increase in the overall growth of the dioxin literature over the past 30 years. These findings may prove crucial in guiding and organizing subsequent investigations related to dioxins.

Knowledge mapping and research trends of distraction osteogenesis in oral and maxillofacial surgery

BACKGROUND

Distraction osteogenesis (DO) has found extensive use in oral and maxillofacial surgery for correcting maxillofacial deformities due to its numerous advantages. However, comprehensive scientific and visual analyses of this field on a global scale are rare. Therefore, this study aims to provide a summary of the global trends and current status of DO in oral and maxillofacial surgery.

METHOD

Publications concerning DO in oral and maxillofacial surgery were comprehensively searched and selected from the Web of Science Core Collection(WOSCC) database. We evaluated the annual contributions from institutions, journals, countries, and authors using bibliometric analysis software.

RESULTS

A total of 541 publications were included in this study. The USA played a predominant role in this field, leading in both publication volume and international collaboration. Harvard University and the University of Hong Kong secured the top position in total publications, while the University of Texas System topped the list in total citations within this field. The Journal of Oral and Maxillofacial Surgery emerged as the primary contributing journal, and Cheung LX emerged as the primary contributing author in the field of distraction osteogenesis (DO) in oral and maxillofacial surgery. Keywords such as 'orthognathic surgery,' 'reconstruction,' and 'osteogenesis' are anticipated to be prominent topics in future research.

CONCLUSION

Between 1995 and 2023, there has been rapid growth in the total number of publications within the field of distraction osteogenesis (DO) in oral and maxillofacial surgery. The USA stands out as the predominant country in this field. Surgeries, orthognathic surgery, and osteogenesis have emerged as prominent topics. The findings of our study offer valuable insights for scholars seeking to identify research hotspots and chart the developmental direction of DO in oral and maxillofacial surgery.

Clinical development and informatics analysis of natural and semi-synthetic flavonoid drugs: A critical review

BACKGROUND

Flavonoids are one of the most important metabolites with vast structural diversity and a plethora of potential pharmacological applications, which have drawn considerable attention in the laboratory. Nevertheless, it remains uncertain how many candidates were progressed to clinical application.

AIM OF REVIEW

We carried out a critical review of natural and semi-synthetic flavonoid drugs and candidates undergoing different clinical phases worldwide by applying an adequate search method and conducted a brief cheminformatic and bioinformatic analysis. It was expected that the obtained results might narrow the screening scope and reduce the cost of drug research and development.

KEY SCIENTIFIC CONCEPTS OF REVIEW

To our knowledge, this is the most systematic summarization of flavonoid-based drugs and clinical candidates to date. It was found that a total of 19 flavonoid-based drugs have been approved for the market, and of these, natural flavonoids accounted for 52.6%. Besides, a total of 36 flavonoid-based clinical candidates are undergoing or suspended in different phases, and of these, natural flavonoids account for 44.4%. Thus, natural flavonoids remain the best option for finding novel agents/active templates, and when investigated in conjunction with synthetic chemicals and biologicals, they offer the potential to discover novel structures that can lead to effective agents against a variety of human diseases. Additionally, flavonoid-based marketed drugs have been successful in cardiovascular treatment, and the related drugs account for more than 30% of marketed drugs. However, the use of flavonoids as antineoplastic and immunomodulating agents is not likely for approximately 50% of the candidates suspended in the clinical stage. Interestingly, the marketed drugs covered a broader range of chemical spaces based on size, polarity, and three-dimensional structure compared to the clinical candidates. In addition, flavonoid glycosides with poor oral bioavailability account for 36.8% of the marketed drugs, and thus, they could be thoroughly investigated.

Analysis of Risk Determinants of Neonatal Mortality in the Last Decade: A Systematic Literature Review (2013-2023)

This study aimed to analyze the determinants of neonatal mortality over the last decade (2013-2023), identifying key factors that have influenced neonatal outcomes both before and during the COVID-19 pandemic. Utilizing a systematic literature review approach guided by the PRISMA method, this study evaluates 91 papers collected from indexed databases such as Scopus, PubMed, and Web of Science. The review encompasses studies conducted globally, offering insights into the evolution of neonatal mortality research and the impact of the COVID-19 crisis on neonatal health. The analysis revealed a complex array of risk determinants, categorized into socioeconomic factors, clinical factors, and healthcare access and quality. Notable factors include rural versus urban healthcare disparities, prenatal and postnatal care quality, and the influence of healthcare infrastructure on neonatal outcomes. This study highlights the shifting focus of neonatal mortality research in response to global health challenges, including the pandemic. The findings underscore the need for multidisciplinary approaches to address neonatal mortality, emphasizing the importance of enhancing healthcare systems, improving maternal education, and ensuring equitable access to quality care. Future research should explore the long-term effects of the COVID-19 pandemic on neonatal health and investigate the efficacy of interventions in diverse healthcare settings.

Unveiling urban governance diversity: Clustering cities based on mitigation actions

Embracing a "more global" urban comparison in scientific assessments of climate actions by cities is essential to drive greater and more inclusive participation in global efforts to curb climate change. This comparison needs to engage cities irrespective of their size and status: when we do so, distinctive patterns of urban climate mitigation actions across a diverse range of cities emerge. Employing K-means clustering as a pattern recognition method, this study compares cities based on selected aspects of their reported mitigation actions to the Carbon Disclosure Project. It explores whether the identified clusters facilitate the comparison of a socio-spatially diverse range of cities. The study identifies five clusters within two themes, namely the nature and finance-implementation of actions, shedding light on shared and distinct governance aspects of mitigation actions by cities. Notably, the study underscores how governance patterns transcend city size and global status. These findings offer valuable insights for broadening the comparative imagination of cities and inter-city networking opportunities.

Impact and Assessment of Research Integrity Teaching: A Systematic Literature Review

Presented here is a systematic literature review of what the academic literature asserts about: (1) the stages of the ethical decision-making process (i.e. awareness, reasoning, motivation, and action) that are claimed to be improved or not improved by RI teaching and whether these claims are supported by evidence; (2) the measurements used to determine the effectiveness of RI teaching; and (3) the stage/s of the ethical decision-making process that are difficult to assess. Regarding (1), awareness was the stage most claimed to be amenable to improvement following RI teaching, and with motivation being the stage that is rarely addressed in the academic literature. While few, some sources claimed RI teaching cannot improve specific stages. With behaviour (action) being the stage referenced most, albeit in only 9% of the total sources, for not being amenable to improvement following RI teaching. Finally, most claims were supported by empirical evidence. Regarding (2), measures most frequently used are custom in-house surveys and some validated measures. Additionally, there is much debate in the literature regarding the adequacy of current assessment measures in RI teaching, and even their absence. Such debate warrants caution when we are considering the empirical evidence supplied to support that RI teaching does or does not improve a specific stage of the decision-making process. Regarding (3), only behaviour was discussed as being difficult to assess, if not impossible. In our discussion section we contextualise these results, and following this we derive some recommendations for relevant stakeholders in RI teaching.

Twenty-five years of research on resting-state fMRI of major depressive disorder: A bibliometric analysis of hotspots, nodes, bursts, and trends

Major depressive disorder (MDD) is a debilitating mental health condition that poses significant risks and burdens. Resting-state functional magnetic resonance imaging (fMRI) has emerged as a promising tool in investigating the neural mechanisms underlying MDD. However, a comprehensive bibliometric analysis of resting-state fMRI in MDD is currently lacking. Here, we aimed to thoroughly explore the trends and frontiers of resting-state fMRI in MDD research. The relevant publications were retrieved from the Web of Science database for the period between 1998 and 2022, and the CiteSpace software was employed to identify the influence of authors, institutions, countries/regions, and the latest research trends. A total of 1501 publications met the search criteria, revealing a gradual increase in the number of annual publications over the years. China contributed the largest publication output, accounting for the highest percentage among all countries. Particularly, the University of Electronic Science and Technology of China, Capital Medical University, and Harvard Medical School were identified as key institutions that have made substantial contributions to this growth. Neuroimage, Biological Psychiatry, Journal of Affective Disorders, and Proceedings of the National Academy of Sciences of the United States of America are among the influential journals in the field of resting-state fMRI research in MDD. Burst keywords analysis suggest the emerging research frontiers in this field are characterized by prominent keywords such as dynamic functional connectivity, cognitive control network, transcranial brain stimulation, and childhood trauma. Overall, our study provides a systematic overview into the historical development, current status, and future trends of resting-state fMRI in MDD, thus offering a useful guide for researchers to plan their future research.

The Global Research Trends on Intrinsic Capacity of Older Adults: A Bibliometric and Visual Analysis of Papers Published During 2015-2023

Objective

The concept of intrinsic capacity (IC) revolves around healthy aging and active aging. Since the Introduction of the concept by the World Health Organization in 2015, a series of studies have been conducted by scholars from multiple fields. However, no bibliometric analysis has systematically investigated this issue. We aim to identify the current landscape and frontier trends of scientific achievements on IC in older adults through bibliometric approaches.

Methods

Quantitative analysis of publications relating to IC in older adults from 2015 to 2023 was interpreted and graphed through the Web of Science Core Collection database on December 5, 2023. A variety of quantitative variables was analyzed, including publication and citation counts, H-index, and journal citation reports. Co-authorship, citation, co-citation, and co-occurrence analyses were performed for countries/regions, institutions, authors, and keywords using the VOSviewer and CiteSpace.

Results

A total of 952 original and review articles in English were identified. The European countries possessed an absolute advantage in this field. The most contributive institution was the University of São Paulo. The most productive author is Cesari Matteo from France, followed by Qaisar Rizwan from the United Arab Emirates. However, a relatively low level of research cooperation existed between institutions and authors. Important topics mainly include the connotations, theoretical framework models, evaluation, screening tools, and application scenarios of IC. Among the promising hotspots, "biological aging", "ICOPE", "Covid-19", "prevention", "inflammation", "caf22", "prevalence", and "randomized controlled trial" displayed relatively latest average appearing year.

Conclusion

Global trends indicate a growing scientific output on IC in older adults, and developed countries are leading the way. There is still room for improvement in research team collaboration. The focus gradually shifts from theoretical research to empirical research. It is recommended to pay attention to the latest hot spots, such as "biological aging", "ICOPE implementation", "post-COVID-19 syndrome", and "biomarkers".

A Bibliometric Analysis of the 36-Year History of Cancer Nursing (1987-2023)

BACKGROUND

Bibliometric analysis is an effective method for evaluating the publication characteristics and development of a journal. To our knowledge, this study is the first such analysis of the publications in Cancer Nursing .

OBJECTIVE

This study aimed to analyze the publication characteristics and evolution of Cancer Nursing over a period of 36 years since its inception.

METHODS

Bibliometric analysis was carried out on 3095 publications. Data were collected from the Web of Science Core Collection database on September 15, 2023. Data analysis was conducted with Web of Science Core Collection, VOSviewer, and Bibliometrix package in R software.

RESULTS

The results showed a steady increase in the citation and publication structure of Cancer Nursing . "Quality of life" was at the center of the studies, and "quality of life," "women," and "breast cancer" were identified as trend topics. The United States was both at the center of the cooperation network and was the country that contributed the most publications to the journal.

CONCLUSION

Cancer Nursing has had an increasing contribution to and impact on cancer nursing in terms of the quality and citations of published articles. It was noted that the journal's network of collaboration has expanded globally and that its thematic diversity is high. Although quality of life, women, and breast cancer have been reported extensively, more studies addressing the concepts of "children," "support," and "needs" are needed in the journal.

IMPLICATIONS FOR PRACTICE

This study not only enriches global readers in the field of cancer nursing but may also be beneficial in providing input to guide future research.

Rising gamification in health education: A bibliometric study

BACKGROUND

The rising gamification in educational contexts has been driven by its potential to increase student motivation, engagement, interest and learning outcomes. Thanks to these effects, gamification has gained popularity in health education. Due to the increase in studies on gamification in health education in recent years, this study has been carried out to present the studies in the relevant literature to researchers.

AIM

This study presents a quantitative mapping of gamification in health education through a bibliometric analysis of its publications.

METHODS

In this study, a total of 475 articles were analyzed by searching "health education*" and "gamif*" and similar terms from Web of Science and Scopus databases. R bibliometric package program was used for the analysis. 1971 authors contributed to the studies, which were spread between 2012 and 2024. The number of studies on gamification in the field of health education has grown in recent years. In particular, it was seen that 2018 can be seen as the breaking point and the highest number of publications was in 2023, with 101 publications.

RESULTS

The descriptive results showed that Zhang, X. was the most productive author, Nurse Education Today and BMC Medical Education were the most productive journals and the United States was the most productive country. It is concluded that terms such as gamification, medical education, game-based learning, education, serious games, simulation and e-learning are the most frequently used words in gamification studies in the field of health education. It has been observed that the concept of gamification is trending, especially in 2018-2023, with a frequency of 150 uses.

CONCLUSIONS

This study is expected to guide researchers in terms of key points for future research on gamification in health education contexts. It is expected that the knowledge provided by this study will enable researchers to be involved in this field and/or focus their research more effectively.

Bibliometric and scientometric analysis of PSMA-targeted radiotheranostics: knowledge mapping and global standing

Purpose

Bibliometric and scientometric analyses provide a structured approach to large amounts of data, enabling the prediction of research theme trends over time, the detection of shifts in the boundaries of disciplines, and the identification of the most productive countries, institutions and scholars. In the context of prostate-specific membrane antigen (PSMA)-targeted radiotheranostics, no bibliometric or scientometric analysis has been published thus far. Therefore, this study was conducted to identify key contributors to the literature, assess the global scientific production of related research, and possibly predict future development patterns.

Methods

Scientometrics and bibliometrics were utilized to analyze the current body of knowledge while tracking its evolution to support scientific decision-making comprehensively and systematically. Science mapping techniques were employed to visualize research activities. Two different tools, Tableau and VOSviewer, were utilized, with VOSviewer being deemed the most suitable for the research objectives. The Web of Science (WoS) was used as the principal database for the searches.

Results

Through the search process over a period of 30 years (January 1993-January 2023), 694 original studies in the English language were subjected to comprehensive analysis. By employing bibliometric and scientometric methods, multiple networks were created that mapped various concepts, such as publication trends, leading countries, cocitations, coauthorship among researchers and scientists, as well as coauthorship among organizations and funding agencies. This study revealed the evolutionary patterns, trends, outliers, and key players in the PSMA field, which enabled a more nuanced understanding of the research landscape.

Conclusion

This research contributes to the enrichment of knowledge on PSMA-targeted radiotheranostics through detailed global bibliometric and scientometric analyses. It stresses the necessity for the development of communication platforms, the establishment of supportive infrastructures, and the implementation of proactive solutions to address emerging challenges. This study offers a significant resource for delineating effective strategies and identifying prominent funding bodies essential for continuous advancements in the field of PSMA-based diagnosis and therapy for prostate cancer. It is vital to sustain this momentum to ensure further progress in this pioneering area.

A bibliometric review of positive psychology and well-being research in Africa

Positive Psychology rapidly developed into an influential field of study and intervention, initially situated in Psychology, and later becoming multidisciplinary. Research interest in the study of (psychological) well-being has gained global popularity, with increasing salience in Africa. Although the global trends of these developments are relatively well-known, a bibliometric analysis of positive psychology research in Africa was necessary to shed light on the present hotspots and trends and future trajectories in this region of the world. The data source of the present bibliometric analysis study was Scopus, from which Positive Psychology and well-being research literature from Africa between 1983 and 2023 were searched. Using biblioshiny and VOSviewer, the 622 extracted articles were analysed, from which findings about the current condition, research hotspots, and thematic developmental patterns could be made. Africa experienced an initial slow growth period from 1983 until 2005, after which a rapid growth in research productivity, relevance and impact was experienced. In this regard, the results show that the focal point of scientific productivity is South Africa, with the dominance of South African institutions, particularly the North-West University, from where most positive psychology research is produced and cited. Even with potential access to international journal, African researchers seem to prefer to place their publications in the regional journals such as Journal of Psychology in Africa and South African Journal of Psychology. The research reviewed tends to be characterised by more dominant thematic clusters of positive psychology, psychological well-being, and subjective well-being, with a focus on human individuals. An increasing concern for contextual factors and potential antecedents and dynamics of well-being is also observed. The findings provide a good map from which identification of future research priorities can be deduced. As such, we speculate that future positive psychology research in Africa ought to be concerned with the following: greater distribution and intercountry collaborations across the continent, questions of conceptual clarity of terms, better understanding of contextual factors which influence well-being, and well-being research embracing the complexity of bio-psycho-social-ecological well-being, and science concerned with health-promotion interventions.

Evolution of Single-Session Therapy: A Bibliometric Analysis

OBJECTIVE

This bibliometric analysis aimed to explore the publication and citation metrics of the research literature on single-session therapy (SST) to understand its current status, trends, and future prospects.

METHODS

Seventy-five keywords were validated by subject matter experts. Publications from 1972 through September 2023 were extracted from the bibliometric website Lens.org. Publication trends, citation patterns, prominent journals, and influential authors were examined as part of the bibliometric analysis. Citation network analysis, bibliographic coupling of authors, and coauthorship network analysis were also performed.

RESULTS

A total of 301 SST publications, including 18 books, 85 book chapters, and 176 journal articles, were found, published by 493 authors. The citation- and publication-related metrics suggested a growing level of subject matter expertise over time. Initially, single-author publications held more prominence than collaborative work, but this pattern shifted. From 2011 to 2020, scholarly interest surged, resulting in 144 publications during this period.

CONCLUSIONS

This bibliometric analysis, the first systematic exploration of the SST knowledge base, can be used to expand and enrich future SST research.

Combining methods to conduct a systematic review and propose a conceptual and theoretical framework in socio-environmental research

This study aims to present a combination of methods and propose robust theoretical and conceptual frameworks for solving socio-environmental issues. This proposal included the Problem, Intervention, Context, and Outcome (PICO) framework and Protocol and Reporting result with Search, Appraisal, Synthesis, and Analysis framework, and develop (PSALSAR) method through SODIP steps: (i) Systematic review and meta-analysis defining the study from guiding questions; (ii) Open-source related to software and data; (iii) Data visualization and design information; (iv) Identification of gaps, challenges and trends through automation and lexicometric analysis; and (v) Proposal of theoretical and conceptual frameworks. This proposal defines the steps as support to combine and systematize information necessary to facilitate the production of this type of document using open-access software in the visualization and design of information. All these steps are replicable and essential to propose a conceptual and theoretical framework to contribute to the construction of knowledge in socio-environmental research and to propose solutions by filling in the gaps. In summary, this combination of methods shows:•The use of SODIP steps provides robustness and efficiency in carrying out review studies, facilitating the way to propose theoretical or conceptual frameworks.•Choosing to use open-source tools is essential for better evaluation and visualization of qualitative and quantitative data in review studies.•The combination of methods and data in the systematic review (scientific, political documents. and databases) supports the proposal of robust theoretical and conceptual frameworks.

Prevalence and trends in physical therapy interventions for erectile dysfunction: A Scopus-based bibliometric analysis (1989-2022)

BACKGROUND

Erectile dysfunction (ED) is a condition that affects many males. Physical therapy (PT) is the one potential treatment for ED that may improve blood flow, muscle strength, and other factors that may contribute to the issue. Data on the prevalence and trends of research on PT for ED are lacking.

OBJECTIVE

This study aimed to evaluate the literature trends in PT for ED via bibliometric and visualized analysis.

METHODS

Data on publications were collected from Scopus covering the period between 1989 and 2022. To refine the data, bibliometric analyses were conducted using Microsoft Access, Microsoft Excel, an online visualization platform, and BiblioAnalytics. Power BI and Bibliomaster were used to generate figures and tables, while Biblioshiny and VOSviewer were used for visualization.

RESULTS

A total of 494 documents were identified. The year 2019 generated the largest number of publications, with a total of 54. These studies have received 12,917 citations related to PT for ED. The most common document type was the original article with 283 publications. The University of California, USA, was the most productive institution on this topic, with 21 publications and 2,035 citations. The USA led all countries with 114 publications on the topic. The Journal of Sexual Medicine secured the top ranking with an h-index of 18. The main topics studied were erectile dysfunction, shockwave therapy, and physiotherapy.

CONCLUSION

The number of publications on PT for ED has demonstrated an upward trend over the last three decades.

A Bibliometric Analysis of the Top 100 Cited Articles in Regenerative Periodontics Surgery: Insights and Trends

Aim

The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS).

Materials and Methods

The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier's Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article.

Results

The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000.

Conclusions

Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs.

Unveiling Advancements: Trends and Hotspots of Metal-Organic Frameworks in Photocatalytic CO2 Reduction

Metal-organic frameworks (MOFs) are robust, crystalline, and porous materials featured by their superior CO2 adsorption capacity, tunable energy band structure, and enhanced photovoltaic conversion efficiency, making them highly promising for photocatalytic CO2 reduction reaction (PCO2RR). This study presents a comprehensive examination of the advancements in MOFs-based PCO2RR field spanning the period from 2011 to 2023. Employing bibliometric analysis, the paper scrutinizes the widely adopted terminology and citation patterns, elucidating trends in publication, leading research entities, and the thematic evolution within the field. The findings highlight a period of rapid expansion and increasing interdisciplinary integration, with extensive international and institutional collaboration. A notable emphasis on significant research clusters and key terminologies identified through co-occurrence network analysis, highlighting predominant research on MOFs such as UiO, MIL, ZIF, porphyrin-based MOFs, their composites, and the hybridization with photosensitizers and molecular catalysts. Furthermore, prospective design approaches for catalysts are explored, encompassing single-atom catalysts (SACs), interfacial interaction enhancement, novel MOF constructions, biocatalysis, etc. It also delves into potential avenues for scaling these materials from the laboratory to industrial applications, underlining the primary technical challenges that need to be overcome to facilitate the broader application and development of MOFs-based PCO2RR technologies.

Gold Nanoparticles (AuNPs)-Toxicity, Safety and Green Synthesis: A Critical Review

In recent years, the extensive exploration of Gold Nanoparticles (AuNPs) has captivated the scientific community due to their versatile applications across various industries. With sizes typically ranging from 1 to 100 nm, AuNPs have emerged as promising entities for innovative technologies. This article comprehensively reviews recent advancements in AuNPs research, encompassing synthesis methodologies, diverse applications, and crucial insights into their toxicological profiles. Synthesis techniques for AuNPs span physical, chemical, and biological routes, focusing on eco-friendly "green synthesis" approaches. A critical examination of physical and chemical methods reveals their limitations, including high costs and the potential toxicity associated with using chemicals. Moreover, this article investigates the biosafety implications of AuNPs, shedding light on their potential toxic effects on cellular, tissue, and organ levels. By synthesizing key findings, this review underscores the pressing need for a thorough understanding of AuNPs toxicities, providing essential insights for safety assessment and advancing green toxicology principles.

Machine learning applied to epilepsy: bibliometric and visual analysis from 2004 to 2023

Background

Epilepsy is one of the most common serious chronic neurological disorders, which can have a serious negative impact on individuals, families and society, and even death. With the increasing application of machine learning techniques in medicine in recent years, the integration of machine learning with epilepsy has received close attention, and machine learning has the potential to provide reliable and optimal performance for clinical diagnosis, prediction, and precision medicine in epilepsy through the use of various types of mathematical algorithms, and promises to make better parallel advances. However, no bibliometric assessment has been conducted to evaluate the scientific progress in this area. Therefore, this study aims to visually analyze the trend of the current state of research related to the application of machine learning in epilepsy through bibliometrics and visualization.

Methods

Relevant articles and reviews were searched for 2004-2023 using Web of Science Core Collection database, and bibliometric analyses and visualizations were performed in VOSviewer, CiteSpace, and Bibliometrix (R-Tool of R-Studio).

Results

A total of 1,284 papers related to machine learning in epilepsy were retrieved from the Wo SCC database. The number of papers shows an increasing trend year by year. These papers were mainly from 1,957 organizations in 87 countries/regions, with the majority from the United States and China. The journal with the highest number of published papers is EPILEPSIA. Acharya, U. Rajendra (Ngee Ann Polytechnic, Singapore) is the authoritative author in the field and his paper "Deep Convolutional Neural Networks for Automated Detection and Diagnosis of Epileptic Seizures Using EEG Signals" was the most cited. Literature and keyword analysis shows that seizure prediction, epilepsy management and epilepsy neuroimaging are current research hotspots and developments.

Conclusions

This study is the first to use bibliometric methods to visualize and analyze research in areas related to the application of machine learning in epilepsy, revealing research trends and frontiers in the field. This information will provide a useful reference for epilepsy researchers focusing on machine learning.

Relationship among weather variation, agricultural production, and migration: A systematic methodological review

Background and Aims

Two main problems the globe currently facing are migration and weather variation. Weather change has a significant impact on the agricultural industry, which affects the majority of poor people. There is a dearth of adequate methodological documentation when examining the relationship between weather variation, agricultural output, and migration. We aimed to identify methodological reporting difficulties by reviewing the quantitative literature on weather-related migration through agricultural channels.

Methods

A systematic evaluation was conducted using papers published between January 2010 and June 2022, indexed in the SCOPUS, PUBMED, and Google Scholar databases. Using inclusion/exclusion criteria, we selected 22 original research articles out of 18,929 distinct articles for review, in accordance with the PRISMA guidelines. We extracted data from each study to understand how various concepts, research designs, and investigative techniques influence our understanding of migration patterns related to weather in the agricultural sector.

Results

The majority (64%) of the study's data consisted of time series data. In 50% of the studies, secondary data were used. Additionally, 55% of these studies did not state the sample size. In 40% of the studies, model assumptions were fully adhered to, whereas in 36% of the studies, they were not followed at all. The majority of the articles used the Ordinary Least Squares technique, while about 41% applied the Two-Stage Least Squares technique. Various tests were conducted across these studies, such as robustness checks (59.1%), endogeneity tests (31.8%), omitted variable bias tests (22.7%), sensitivity analyses (22.7%), and weak instrument tests (13.6%), to name a few. In the research we selected, the methodology section had various shortcomings and lacked organization. Furthermore, the justifications for deviations from model assumptions were unclear, potentially affecting the study outcomes.

Conclusion

This study has important indications for researchers in studying climatic (weather) migration through agricultural channels besides for policymakers by giving a thorough review of the methods and techniques.

Urban river recovery: a systematic review on the effectiveness of water clean-up programs

Urban rivers are affected at different levels by the intensification of human activities, representing a serious threat to the maintenance of terrestrial life and sustainable urban development. Consequently, great efforts have been dedicated to the ecological restoration of urban rivers around the world, as a solution to recovering the environmental functionality of these environments. In this sense, the present work aimed to investigate the effectiveness of interventions carried out aimed at the recovery of urban rivers, through a systematic review of the literature between 2010 and 2022, using the search term "rivers recovery." The results showed that there have been notable advances in the implementation of river recovery programs in urban areas around the world between the years analyzed. The ecosystems studied were affected, for the most part, by the increase in the supply of nutrients from domestic and industrial effluents, in addition to having highly urbanized surroundings and with several changes in land use patterns. The preparation of this literature review made it possible to demonstrate that the effectiveness of river recovery is extremely complex, since river recovery projects are developed for different reasons, as well as being carried out in different ways according to the intended objective.

The role of microRNAs in axon regeneration after peripheral nerve injury: a bibliometric analysis

Objective

This study analyzed the current research hotspots and future development trends of the therapeutic effects of microRNA on PNI axonal regeneration through bibliometric methods. Moreover, the current advantages and disadvantages of this field as well as future development prospects are discussed in depth.

Methods

CiteSpace V and VOSviewer were used as bibliometric tools to complete the analysis of the research focus and direction of the published articles. To supplement, sort out, and summarize, we analyzed the research status of the study on the application of microRNAs for axonal regeneration after peripheral nerve injury from 2013 to 2023.

Results

A total of 207 publications were retrieved from the Web of Science database. After exclusion and screening, a final selection of 174 articles that met the research criteria. These 174 articles were authored by a total of 846 individuals, representing 24 countries and 199 institutions. Additionally, this study presents information on the annual publication output, country distribution, top 5 contributing authors, top 5 most cited articles, and top 10 contributing institutions.

Conclusion

As one of the hottest topics today, microRNAs have become the current research hotspot in neural inflammation, neural cell repair and regeneration, neural protection, and functional recovery. With more investment in research in this field, more high-quality articles will be published in both domestic and international outstanding journals, which will bring a new era for the treatment of peripheral nerve injury.

Uncovering the world's largest carbon sink-a profile of ocean carbon sinks research

As the world's largest carbon sink, the oceans are essential to achieving the 1.5 °C target. Marine ecosystems play a crucial role in the "sink enhancement" process. A deeper comprehension of research trends, hotspots, and the boundaries of ocean carbon sinks is necessary for a more effective response to climate change. To this end, academic literature in the field of ocean carbon sinks was investigated and analyzed using the core database of the Web of Science. The results show that (1) The ocean carbon sink is a global study. The number of literatures in the field of ocean carbon sinks is growing, and the USA and China are the main leaders, with the USA accounting for 31.19% of the global publications and China accounting for 26.57% of the global publications, and the environmental science discipline is the most popular in this field. (2) Keyword burst detection shows that the keywords "sink, sensitivity, land, dynamics, and seagrass" appear earliest and have high burst intensity, which are the hot spots of research in this field; the keyword clustering shows that the global ocean carbon sinks research mainly focuses on three themes: (i) carbon cycle and climate change; (ii) carbon sinks estimation models and techniques; and (iii) carbon sinks capacity and ocean biological carbon sequestration in different seas. Finally, targeted research recommendations are proposed to further match the ocean carbon sink research.

Process oriented guided inquiry learning: A systematic review using bibliometric analysis

Process oriented guided inquiry learning (POGIL), is a group-learning method that contributes to the active participation of learners in learning/teaching environments. However, a standard process for using the POGIL in classes is not available. In addition, no systematic reviews using bibliometric analysis in the literature examine the studies concerning POGIL in terms of content and research trends. From this viewpoint, this study aimed to examine the documents related to POGIL with the bibliometric analysis method to contribute to the development of POGIL. It analyses the publications made about POGIL in the period between 1999 and 2023. A total of 179 publications available on the Web of Science were included in the study. It was found following the analyses that the publications were made in various research areas and were published in several journals. They were mostly published in the USA and the researcher with the greatest number of publications was Clifton L. Kussmaul.

A review of the status, challenges, trends, and prospects of groundwater quality assessment in Nigeria: an evidence-based meta-analysis approach

With the imminent industrial growth and population increase, Nigeria will continue to experience significant shifts in the quality of water, with a rise in emerging contaminants. This will increase the irregularity and complexity of the water quality information. Therefore, using the PRISMA meta-analysis approach, this review systematically identified the commonly used water quality assessment techniques in Nigeria, the drawback in the application of these techniques as well as the gaps in the area of water quality assessment and monitoring from 2003 to 2023. Recommendations were also made based on the evaluation of a new research direction; through the review of the effectiveness of advanced techniques for monitoring water quality in Nigeria. Sixty-eight published articles were chosen for the meta-analysis while the VOSviewer program was used to perform bibliographic coupling and visualization. The review revealed that the application of machine learning in water quality prediction has not been well explored in Nigeria. This is attributed to limited data availability and poor funding by the government. It was found that southwestern Nigeria has a greater amount of research on groundwater quality monitoring and evaluation than other regions. The variability was explained by variations in the underlying geology, aquifer features; variability in anthropogenic activities, and level of literacy among various geopolitical zones. Further studies should focus on the application of soft-computing and integrated biomonitoring techniques for effective prediction and monitoring of emerging contaminants for improved water quality. Effective collaboration between environmental stakeholders and government agencies is recommended for effective water resource sustainability.

Possibilities and limits of modelling of long-range economic consequences of air pollution - A case study

Air pollution is the biggest environmental problem in modern societies, causing considerable health damage and requiring substantial financial resources for health care. The goal of the study is to demonstrate the adverse economic consequences of air pollution on example of a small, open Central European country, Hungary, and to provide quantified financial arguments for macroeconomic decision-making for the development of a long-term energy strategy. On the basis of the Cobb-Douglas production function and Solow-Swann model of dynamic economic systems a simple and robust model was constructed to estimate and predict economic losses, caused by the pollution. On base of results it is obvious, that on base of macroeconomic theory and combination of various, publicly available, quality-controlled statistical resources quantifiable models can be constructed to characterise the economic consequences of air pollution, but it should be taken into consideration, that the reliability of economic models considerably depends on their initial parameters and practical validity of assumptions, based on which the underlying economic theories were built. The most important economic burden of air pollution is caused by the loss of working-age population, resulting in a decrease of 4.1-9.4 % a year in Gross Domestic Product (GDP) in the next fifty years. The additional burden of health care costs amounts to 0.1 % of GDP. Reducing air pollution is not only a quality of life improvement but also an investment into the economic development. Notwithstanding of statistical biases it could be proven the importance of combination health economic and econometric methods in preparation of more efficient environmental-related socio-economic decisions.

Immersive Virtual Reality-Based Methods for Assessing Executive Functioning: Systematic Review

BACKGROUND

Neuropsychological assessments traditionally include tests of executive functioning (EF) because of its critical role in daily activities and link to mental disorders. Established traditional EF assessments, although robust, lack ecological validity and are limited to single cognitive processes. These methods, which are suitable for clinical populations, are less informative regarding EF in healthy individuals. With these limitations in mind, immersive virtual reality (VR)-based assessments of EF have garnered interest because of their potential to increase test sensitivity, ecological validity, and neuropsychological assessment accessibility.

OBJECTIVE

This systematic review aims to explore the literature on immersive VR assessments of EF focusing on (1) EF components being assessed, (2) how these assessments are validated, and (3) strategies for monitoring potential adverse (cybersickness) and beneficial (immersion) effects.

METHODS

EBSCOhost, Scopus, and Web of Science were searched in July 2022 using keywords that reflected the main themes of VR, neuropsychological tests, and EF. Articles had to be peer-reviewed manuscripts written in English and published after 2013 that detailed empirical, clinical, or proof-of-concept studies in which a virtual environment using a head-mounted display was used to assess EF in an adult population. A tabular synthesis method was used in which validation details from each study, including comparative assessments and scores, were systematically organized in a table. The results were summed and qualitatively analyzed to provide a comprehensive overview of the findings.

RESULTS

The search retrieved 555 unique articles, of which 19 (3.4%) met the inclusion criteria. The reviewed studies encompassed EF and associated higher-order cognitive functions such as inhibitory control, cognitive flexibility, working memory, planning, and attention. VR assessments commonly underwent validation against gold-standard traditional tasks. However, discrepancies were observed, with some studies lacking reported a priori planned correlations, omitting detailed descriptions of the EF constructs evaluated using the VR paradigms, and frequently reporting incomplete results. Notably, only 4 of the 19 (21%) studies evaluated cybersickness, and 5 of the 19 (26%) studies included user experience assessments.

CONCLUSIONS

Although it acknowledges the potential of VR paradigms for assessing EF, the evidence has limitations. The methodological and psychometric properties of the included studies were inconsistently addressed, raising concerns about their validity and reliability. Infrequent monitoring of adverse effects such as cybersickness and considerable variability in sample sizes may limit interpretation and hinder psychometric evaluation. Several recommendations are proposed to improve the theory and practice of immersive VR assessments of EF. Future studies should explore the integration of biosensors with VR systems and the capabilities of VR in the context of spatial navigation assessments. Despite considerable promise, the systematic and validated implementation of VR assessments is essential for ensuring their practical utility in real-world applications.

The Role of Artificial Intelligence of Things in Achieving Sustainable Development Goals: State of the Art

With the environmental and societal changes, the achievement of sustainable development goals (SDGs) and the realization of sustainability in general is now more important than ever. Through a bibliometric analysis and scientific mapping analysis, this study aims to explore and provide a review regarding the role of artificial intelligence (AI), the Internet of Things (IoT), and artificial intelligence of things (AIoT) in realizing sustainable development and achieving SDGs. AIoT can be defined as the combination of AI with IoT to create more efficient and data-driven interconnected, intelligent, and autonomous IoT systems and infrastructure that use AI methods and algorithms. The analysis involved 9182 documents from Scopus and Web of Science (WoS) from 1989 to 2022. Descriptive statistics of the related documents and the annual scientific production were explored. The most relevant and impactful authors, articles, outlets, affiliations, countries, and keywords were identified. The most popular topics and research directions throughout the years and the advancement of the field and the research focus were also examined. The study examines the results, discusses the main findings, presents open issues, and suggests new research directions. Based on the results of this study, AIoT emerged as an important contributor in ensuring sustainability and in achieving SDGs.

Tissue engineering in otorhinolaryngology: A knowledge-based analysis

Objective

To analyze the impact, performance, degree of specialization, and collaboration patterns of the worldwide scientific production on tissue engineering in otorhinolaryngology at the level of countries and institutions.

Methods

Two different techniques were used, performance and science mapping analyses, using as samples all the available documents regarding tissue engineering focused on otorhinolaryngology applications. The dataset was retrieved from the Core Collection of the Web of Science database from 1900 to 2020. Social structure was analyzed using science mapping analysis with VOSviewer software.

Results

The United States was the main producer, followed by Germany, and Japan. Malaysia and Germany had the highest Relative Specialization Index, indicating their greater relative interest in this area compared to other countries. The social structure analysis showed that the United States and Germany had significant co-authorship relationships with other countries. The University of California System, Kyoto University, and Harvard University were the leading institutions producing literature in this field. These latter two institutions showed the largest number of collaborations, although most of them were with institutions within their own country. There was a lack of connections between different communities of research.

Conclusion

The United States is the main country driving progress in this research area, housing the most notable institutions. However, significant collaborations between these research centers are currently lacking. Encouraging greater cooperation among these institutions and their researchers would promote the exchange of knowledge, ultimately facilitating and accelerating advancements in this field.

Prolonged grief disorder: A bibliometric analysis

Prolonged Grief Disorder (PGD) has become a subject of increased interest among both researchers and practitioners, owing both to its recent inclusion in the DSM-5-TR and the growing evidence of widespread complications of bereavement in the context of the COVID-19 pandemic. From a set of 467 studies obtained from the Scopus database during the period 2009 to 2022, the present research provides bibliographic data on the most influential authors on the subject, most relevant journals based on the number of documents published, a keyword analysis of the focus of this work, and an overall characterization of the scientific literature on PGD. The Biblioshiny application along with VOSviewer software was used for the analysis and visual depiction of the results. Both the scientific and applied implications of this analysis are discussed.

Unveiling the intellectual structure of informality: Insights from the socioeconomic literature

In the socioeconomic sphere, the concept of informality has been used to address issues pertaining to economic dynamics, institutions, work, poverty, settlements, the use of space, development, and sustainability, among others. This thematic range has given way to multiple discourses, definitions and approaches that mostly focus on a single phenomenon and conform to traditional disciplinary lines, making it difficult to fully understand informality and adequately inform policymaking. In this article, we carried out a multilevel co-word analysis with the purpose of unveiling the intellectual structure of socioeconomic informality. Co-occurring document keywords were used, initially, to delimit the scope of the socioeconomic dimension of informality (macro level) and, later, to identify its main concepts, themes (meso level) and sub-themes (micro level). Our results show that there is a corpus of research on socioeconomic informality that is sufficiently differentiable from other types of informality. This corpus, at the same time, can be divided into six major themes and 31 sub-themes related, more prominently, to the informal economy, informal settlements and informal institutions. Looking forward, the analysis suggests, an increasing focus on context and on the experience of multiple 'informalities' has the potential, on the one hand, to reveal links that help unify this historically fragmented corpus and, on the other hand, to give informality a meaning and identity that go beyond the traditional formal-informal dualism.

Clinical Impact of "Real World Data" and Blockchain on Public Health: A Scoping Review

The digitisation of healthcare has allowed a significant rethinking of the previous clinical protocols, improving their interoperability through substantial standardisation. These technological advances have ensured that data are comparable, as they are obtained from 'reliable' and certified processes; however, there are billions of data that are neither structured nor quality-controlled. They are collectively referred to as 'Real World Data' (RWD). Blockchain (BC) is a procedure with specific characteristics and algorithms that ensure that the stored data cannot be tampered with. Nowadays, there is an increasing need to rethink blockchain in a one-health vision, making it more than just a 'repository' of data and information, but rather an active player in the process of data sharing. In this landscape, several scholars have analysed the potential benefits of BC in healthcare, focusing on the sharing and safety of clinical data and its contact tracing applications. There is limited research on this matter; moreover, there is a strategic interest in managing RWD in a reliable and comparable way, despite the lack of knowledge on this topic. Our work aims to analyse systematically the most impacting literature, highlighting the main aspects of BC within the context of the new digital healthcare, and speculating on the unexpressed potential of RWD.

A systematic literature review of the role of trust and security on Fintech adoption in banking

Fintech's development has amplified cybercrime, prompting trust and security concerns in banking. While earlier research predominantly viewed Fintech adoption through a tech-centric lens, emphasising its benefits, there is a paucity of studies on cognitive resistance arising from Fintech controversies. This review synthesises previous Fintech literature on behavioural intentions in banking, emphasising the role of trust, security, and other factors, and highlights existing research gaps. Utilising the ROSES (RepOrting standards for Systematic Evidence Syntheses) framework, a Systematic Literature Review was conducted, analysing 26 articles from Scopus and Web of Science (WoS) databases (2009-2022). Thematic analysis produces five primary themes (UTAUT2 variables; risk; trust; quality; and other), branching into 24 sub-themes. The weight analysis emphasises the best well-utilised predictors like performance expectancy, trust, security, perceived usefulness, and attitude. In addition, the review identifies research gaps and offers recommendations for future studies using the TCCM (Theory, Context, Constructs, and Method) framework. This research provides insights to Fintech companies and regulatory authorities on the preferred attributes of Fintech services that can enhance their adoption within the banking sector.

Identification and analysis of hoisting safety risk factors for IBS construction based on the AcciMap and cases study

Hoisting is an essential aspect of Industrial Building System (IBS) construction. Although research on hoisting safety in China has made strides to focus on "worker," "data," "task," "site," and "accident," there still needs to be more approaches based on multi-dimensional social system thinking. Therefore, the paper aims to fill this gap. We investigated 105 hoisting accidents in China and found that hoisting accidents occurred most frequently in China's southeast coastal region; truck-mounted cranes and tower cranes were the most common types of machinery involved in accidents; hoisting load off, capsizing of crane machinery, and workers falling from height are the three most common accident types; the average impact of a single hoisting accident is approximately RMB 2.43 million direct economic loss, 1.543 deaths and 0.829 injured. This study used three algorithms (Rindge regression, Lasson regression, and partial least squares regression) to explore the impact of deaths and injuries on direct economic losses. By combining Rasmussen's risk framework with the characteristics of hoisting construction, six risk domains and thirty-six safety risk factors were identified. Finally, we used AcciMap technology to construct a qualitative IBS hoisting management model, which exhaustively presents the systematic levels and propagation paths of the influencing factors by the PDCA method. The research helps academics explore strategies to improve the safety of hoisting construction in IBS. Moreover, the study outcomes can inform the policy-making process towards promoting healthy and sustainable construction development.

Brain-derived neurotrophic factor (BDNF) in chronic pain research: A decade of bibliometric analysis and network visualization

Chronic pain research, with a specific focus on the brain-derived neurotrophic factor (BDNF), has made impressive progress in the past decade, as evident in the improved research quality and increased publications. To better understand this evolving landscape, a quantitative approach is needed. The main aim of this study is to identify the hotspots and trends of BDNF in chronic pain research. We screened relevant publications from 2013 to 2022 in the Scopus database using specific search subject terms. A total of 401 documents were selected for further analysis. We utilized several tools, including Microsoft Excel, Harzing's Publish or Perish, and VOSViewer, to perform a frequency analysis, citation metrics, and visualization, respectively. Key indicators that were examined included publication growth, keyword analyses, topmost influential articles and journals, networking by countries and co-citation of cited references. Notably, there was a persistent publication growth between 2015 and 2021. "Neuropathic pain" emerged as a prominent keyword in 2018, alongside "microglia" and "depression". The journal Pain® was the most impactful journal that published BDNF and chronic pain research, while the most influential publications came from open-access reviews and original articles. China was the leading contributor, followed by the United States (US), and maintained a leadership position in the total number of publications and collaborations. In conclusion, this study provides a comprehensive list of the most influential publications on BDNF in chronic pain research, thereby aiding in the understanding of academic concerns, research hotspots, and global trends in this specialized field.

Work intensification: A systematic review of studies from 1989 to 2022

BACKGROUND

Work intensification can lead to both work-related and non-work-related outcomes that positively and negatively affect the employee, organization, and job in question. The criticality of this phenomena necessitates conducting a systematic review to capture the essence of the extant literature.

OBJECTIVE

This paper presents a systematic review of the literature on work intensification from 1989 to 2022. It reviews the conceptualization of the construct, explores the factors influencing work intensification, identifies its outcomes, moderators, and mediators, and provides a review of the theories that have been used to support the phenomena of work intensification.

METHODS

The systematic review employed the PRISMA approach to screen 2823 records from the Web of Science database and extract 74 quantitative studies for final examination.

RESULTS

Firstly, work intensification has primarily been conceptualized through various constructs such as workload, long work hours, and time pressure. Secondly, there are well-established positive and negative outcomes associated with work intensification, either directly or through mediators. Thirdly, both the conservation of resource theory and the job-demands resource theory are widely utilized to support models related to work intensification.

CONCLUSION

The study urges practitioners to enhance their efforts in effectively managing employees' intensified work demands, particularly in relation to work overload, working hours, and time pressure. By addressing these factors, organizations can minimize negative outcomes and promote positive consequences.

Research hotspots and trend analysis of cell transplantation in traumatic spinal cord injury: a bibliometric and visualized analysis

Background: A traumatic spinal cord injury (TSCI) can lead to severe nerve damage and disability. Cell transplantation therapy has shown great potential in the reconstruction of damaged spinal cords and promoting functional recovery. However, there is a lack of frontiers and futures analysis in the study of cell transplantation in TSCI. Methods: We used CiteSpace, VOSviewer and biblilometrix R package to perform bibliometric analysis on cell transplantation in TSCI from 2013 to 2023. Bibliometric records were extracted from English articles and reviews from the Web of Science core collection. Results: The bibliometric analysis included 284 papers published in 154 journals by 1,780 authors from 487 institutions in 41 countries and regions. The number of articles published in the past decade has fluctuated slightly, while the number of article citations has steadily increased. Mainland China and the United States are the leading countries and regions in this field, with the National Natural Science Foundation of China being the most funded foundation, and the United States being the country with the most funded articles. The University of Toronto in Canada is a prolific institution. Michael G. Fehlings has published the most articles, and D Michele Basso is the most cited author. Cell transplantation is the most published journal, and the Journal of Neurotrauma is the most cited journal. Cell and tissue engineering and clinical neurology are the basic disciplines in this field, and cutting-edge disciplines include developmental biology, biochemistry and molecular biology, and materials science and multidisciplinary. This study also helps scholars understand the current hotspots and future trends in this field. Marrow stromal cells, glial progenitor, and cell therapy are current research hotspots in this field, while nerve regeneration, cell therapy, and the safety of transplantation of transplantation may be potential research directions in the future. Conclusion: Cell transplantation after TSCI is receiving increasing attention. Cell therapy is both the frontier and a possible future trend in TSCI research. In addition, glial progenitor and marrow stromal cells are also current research hotspots. Meanwhile, nerve regeneration and safety of transplantation may be potential research directions. These findings will help further deepen research on cell transplantation for TSCI in scientific work.

Knowledge mapping of exercise and physical activity research in older adults: Hotspots, bursts, and trends of the last decade

Background and objectives

Global aging has increased the importance of health management in older adults. Exercise is a crucial strategy for healthy aging and has led to numerous scientific advancements due to its impact on age-related illnesses. We aim to investigate the research hotspots, bursts of knowledge base, and trends in the field of exercise and physical activity in older adults over the past decade and present them in a visual manner.

Methods

We searched and retrieved data from the Web of Science database, and performed a bibliometric analysis of publications on exercise and physical activity research in older adults from 2013 to 2022. We evaluated the current status and hotspots through co-occurrence analysis using VOSviewer. The evolution and bursts of knowledge base were assessed through co-citation analysis using CiteSpace. Thematic evolution was analyzed using the bibliometrix package to discover keyword trends. The attribution and collaboration of countries/regions, institutions and authors were also analyzed.

Results

A total of 27,820 publications were included. Publications on exercise and physical activity in older adults increased from 1755 records in 2013-3737 records in 2022 annually. In co-occurrence analysis of keywords, 5 major clusters were revealed: sarcopenia, cognition, frailty, mental health, and rehabilitation. Co-citation analysis reveals that the knowledge base has evolved from references focused on frailty, dementia, and physical activity before 2016 to references focus on sarcopenia, cognition and sedentary behavior after 2020. Among the top 10 high-frequency keywords, sarcopenia demonstrated a consistent and significant upward trend, with its percentage increasing from 8.7 % (82 times) in 2016 to 12.2 % (236 times) in the most recent year, making it the most frequently used keyword. Frailty ranked second, starting at 5.6 % (41 times) in 2013 and gradually rising to 11.7 % (225 times) in 2022. The most productive country, institution and author were the USA (8212 publications), the University of Pittsburgh(501 publications), and Brendon Stubbs(94 publications), respectively.

Discussion

Publications on exercise and physical activity for older adults have surged in the last decade, accompanied by a shift in the knowledge base. Regional disparities in the academic output in this field need to be addressed in the future to promote healthy aging.

Global research trends and hot spots on autophagy and kidney diseases: a bibliometric analysis from 2000 to 2022

Background: Autophagy is an essential cellular process involving the self-degradation and recycling of organelles, proteins, and cellular debris. Recent research has shown that autophagy plays a significant role in the occurrence and development of kidney diseases. However, there is a lack of bibliometric analysis regarding the relationship between autophagy and kidney diseases. Methods: A bibliometric analysis was conducted by searching for literature related to autophagy and kidney diseases in the Web of Science Core Collection (WoSCC) database from 2000 to 2022. Data processing was carried out using R package "Bibliometrix", VOSviewers, and CiteSpace. Results: A total of 4,579 articles related to autophagy and kidney diseases were collected from various countries. China and the United States were the main countries contributing to the publications. The number of publications in this field showed a year-on-year increasing trend, with open-access journals playing a major role in driving the literature output. Nanjing Medical University in China, Osaka University in Japan, and the University of Pittsburgh in the United States were the main research institutions. The journal "International journal of molecular sciences" had the highest number of publications, while "Autophagy" was the most influential journal in the field. These articles were authored by 18,583 individuals, with Dong, Zheng; Koya, Daisuke; and Kume, Shinji being the most prolific authors, and Dong, Zheng being the most frequently co-cited author. Research on autophagy mainly focused on diabetic kidney diseases, acute kidney injury, and chronic kidney disease. "Autophagy", "apoptosis", and "oxidative stress" were the primary research hotspots. Topics such as "diabetic kidney diseases", "sepsis", "ferroptosis", "nrf2", "hypertension" and "pi3k" may represent potential future development trends. Research on autophagy has gradually focused on metabolic-related kidney diseases such as diabetic nephropathy and hypertension. Additionally, PI3K, NRF2, and ferroptosis have been recent research directions in the field of autophagy mechanisms. Conclusion: This is the first comprehensive bibliometric study summarizing the relationship between autophagy and kidney diseases. The findings aid in identifying recent research frontiers and hot topics, providing valuable references for scholars investigating the role of autophagy in kidney diseases.

Comparison of the scientific performance in hip and knee arthroplasty between the leading continents

Background

Scientific progress in the field of knee and hip arthroplasty has enabled the preservation of mobility and quality of life in the case of patients with many primary degenerative and (post-) traumatic joint diseases. This comparative study aims to investigate differences in scientific performance between the leading continents in the field of hip and knee arthroplasty.

Methods

Using specific search terms all studies published by the scientific leading continents Europe, North America, Asia and Oceania listed in the Web of Science databases were included. All identified publications were analysed and comparative conclusions were drawn regarding the qualitative and quantitative scientific merit of each continent.

Results

Europe, followed by North America, Asia, and Oceania, had the highest overall number of publications in the field of arthroplasty. Since 2000, there has been a strong increase in knee arthroplasty publication rate, particular pronounced in Asia. Studies performed and published in North America and those on knee arthroplasty received the highest number of fundings. Publications regarding hip arthroplasty achieved the highest average citation rate. In contradistinction to the others, in North America most funding was provided by private agencies.

Conclusion

Although Europe showed the highest total number of publications, authors and institutions, arthroplasty research from North America received greater scientific attention and financial support. Measured by citations, publications on hip arthroplasty attained higher scientific interest and studies on knee arthroplasty received higher economic affection.

Research hotspots and trends of artificial intelligence in rheumatoid arthritis: A bibliometric and visualized study

Artificial intelligence (AI) applications on rheumatoid arthritis (RA) are becoming increasingly popular. In this bibliometric study, we aimed to analyze the characteristics of publications relevant to the research of AI in RA, thereby developing a thorough overview of this research topic. Web of Science was used to retrieve publications on the application of AI in RA from 2003 to 2022. Bibliometric analysis and visualization were performed using Microsoft Excel (2019), R software (4.2.2) and VOSviewer (1.6.18). The overall distribution of yearly outputs, leading countries, top institutions and authors, active journals, co-cited references and keywords were analyzed. A total of 859 relevant articles were identified in the Web of Science with an increasing trend. USA and China were the leading countries in this field, accounting for 71.59% of publications in total. Harvard University was the most influential institution. Arthritis Research & Therapy was the most active journal. Primary topics in this field focused on estimating the risk of developing RA, diagnosing RA using sensor, clinical, imaging and omics data, identifying the phenotype of RA patients using electronic health records, predicting treatment response, tracking the progression of the disease and predicting prognosis and developing new drugs. Machine learning and deep learning algorithms were the recent research hotspots and trends in this field. AI has potential applications in various fields of RA, including the risk assessment, screening, early diagnosis, monitoring, prognosis determination, achieving optimal therapeutic outcomes and new drug development for RA patients. Incorporating machine learning and deep learning algorithms into real-world clinical practice will be a future research hotspot and trend for AI in RA. Extensive collaboration to improve model maturity and robustness will be a critical step in the advancement of AI in healthcare.

Recent advances in the treatment of pain in endometriosis: A bibliometric analysis of experimental models

Background and Aim

Treatment of endometriosis involves pain relief which is achieved through the administration of analgesics and non-steroidal anti-inflammatory drugs, with or without the addition of hormone therapy. At present, studies investigating endometriosis pain management using experimental rat models and the use of medications are scarce. Therefore, this study aimed to systematically evaluate research trends and critical points in the field of endometriosis pain management using experimental models.

Materials and Methods

A total of 30 publications related to this topic that were published from 2012 to 2022 were retrieved from various databases, including Web of Science, Scopus, PubMed, Embase, and CINAHL, using appropriate English keywords. The quality of the publications was evaluated using impact metrics, productivity, term density mapping, and author network.

Results

The average publication rate was three articles per year, reaching its peak in 2021 at five articles per year. The United States and China were found to be the most productive countries, with 12 and 10 publications per year, respectively. The field of medicine (37.0%) was the most abundant, although the H-index was relatively low (13:13). Term density mapping involved the search of 542 keywords, of which 35 were selected, with only 8 exhibiting significant density.

Conclusion

In the past decade, there has been a shortage of publications that have addressed pain in endometriosis in experimental models and, within this context the majority of the production and publication in this field has been performed by the United States and China. After performing this bibliometric review, it can be inferred that more research is required in this field, to develop new approaches and treatments for endometriotic pain.

Hotspots and Global Trends of Nursing Research on Telehealth From 2012 to 2021: A Bibliometric Analysis by CiteSpace

Telehealth is commonly used in nursing in recent years; however, there is a lack of information on hotspots and global trends over time. This study aimed to analyze the bibliometric patterns of telehealth research in nursing. This is a descriptive bibliometric study. Data were obtained from Web of Science Core Collection. CiteSpace version 6.1.R6 was used to perform analysis. The co-occurrence and co-citation analyses were conducted. A total of 1365 articles were analyzed. A total of 354 authors and 352 institutions from 68 countries have contributed telehealth research in nursing. The most productive author was Kathryn H. Bowles with six articles. The United States with 688 articles and University of Pennsylvania with 22 articles were the most productive country and institution, respectively. The top 10 keywords on this research area were care , intervention , management , health , technology , quality of life , outcome , mobile application , telemedicine , and experience . In addition, the common themes on keywords were nurse practitioner student perception, hemodialysis patients, and heart failure. The study will help to finding potential collaborators, countries, and institutions for future researchers. In addition, it will guide researchers, practitioners, and scholars in further studies, health policy development, and evidence-based practice on telehealth in nursing.

A bibliometric review of biochar for soil carbon sequestration and mitigation from 2001 to 2020

To mitigate global warming and the greenhouse effect, biochar (BC) has been regarded as an important way of carbon sink. Therefore, this research explored the development trend of BC for soil carbon sequestration and mitigation from 2001 to 2020 based on bibliometric analysis. The results show that Yong Sik Ok and Johannes Lehmann are the top 2 high-impact authors. China, America, and Germany are the most widely collaborated countries, but China's research impact is lower than that of America. The Chinese Academy of Sciences has far more publications than any other institution, but Cornell University and Kangwon National University lead the way in terms of impact. Research hotspots can be divided into five clusters: (1) pyrolysis, nutrient, and microbial communities; (2) the immobilization of heavy metals; (3) crop yield and soil properties; (4) greenhouse gas, meta-analysis, and field experiment; (5) carbon fraction and sequestration. Reviews account for 60 % of the top 10 most highly cited papers, and eight of the top 10 focus on the early research period, setting the stage for the development of the BC field. Science of the Total Environment has the highest number of publications and total citations, and literature published in Soil Biology and Biochemistry is to some extent more likely to be cited. In the future, we need to carry out research in the following aspects: (1) Interaction mechanisms between BC, soil, and soil microbial communities. (2) Designing low-cost, high-yield, and high-effect optimization methods to improve the characteristics of BC. (3) Effect of BC on the environment and human health in long-term localization experiments. (4) Carbon sinks of BC need to be further evaluated on a global scale.

Prostate cancer, online health information and communication technology - Bibliometric analysis of field with research frontiers

OBJECTIVES

The purpose of this study is to conduct the first bibliometric analysis which examines eHealth communication technologies in prostate cancer care, and the utilization of internet-based health information and communication technology by men with prostate cancer.

METHODS

Original articles were extracted from the Science Citation Index Expanded (SCI-E) on Web of Science (WOS) and analyzed concerning their distributions. Quantitative guidance directed investigation of findings from previous studies and trending issues within the field. The WOS, VOSViewer and CiteSpace IV were used for information analysis.

RESULTS

302 articles were included in the final analysis. There has been a 165 % increase in productivity over the past decade. The leading country by publication was the USA (145 articles = 48.02 %). Journals which published the highest number of original articles were the Journal of Medical Internet Research (6.95 %), and Patient Education and Counseling (4.64 %).

DISCUSSION AND PRACTICE IMPLICATIONS

The field of research which examines utilization and impacts of internet-based health information on men with prostate cancer is growing and diverse. Research frontiers are 'Information quality and diversity', 'eHealth literacy', 'decision making', and 'survivorship and advanced disease'. Clinicians should be aware of several significant limitations which exist within the current field of research.

Broad vs. narrow traits: a scoping review of measuring personality traits in teacher selection using the situational judgment test

Situational Judgment Tests (SJTs) have gained popularity and are commonly used as a measurement technique in a variety of professions, particularly those that include hiring, promoting, and professional development. In various educational sectors around the world, SJTs are being utilized as a measure by which to choose individuals who possess the requisite non-academic attributes for the profession. The objective of this review is to identify and analyze the traits that are measured in teacher selection using SJTs, in terms of both broad and narrow traits. This review uses a scoping review approach comprising five stages which are: identifying the research question, identifying relevant studies, selecting the studies, charting the data and reporting the results. Seven empirical research studies on teacher selection using SJTs were identified in which broad and narrow traits are used differently in selection. In the studies, a broad trait-conscientiousness-and seven narrow traits-organization and planning; empathy and communication; adaptability and resilience; mindset; emotional regulation; professional ethics; and enthusiasm and motivation-were recognized. Analysis revealed, in line with other prior studies, that the traits discovered tended to be used as the foundation for teacher selection criteria. The use of broad and narrow traits as the basis for teacher selection criteria has implications for the selection of the "best" teacher candidates because both broad and narrow traits generally do not accurately measure the precise characteristics needed. Future studies should focus on measuring more precise characteristics without overlap between the targeted characteristics, in light of the conclusions from this review.

A swift expanding trend of extracellular vesicles in spinal cord injury research: a bibliometric analysis

Extracellular vesicles (EVs) in the field of spinal cord injury (SCI) have garnered significant attention for their potential applications in diagnosis and therapy. However, no bibliometric assessment has been conducted to evaluate the scientific progress in this area. A search of articles in Web of Science (WoS) from January 1, 1991, to May 1, 2023, yielded 359 papers that were analyzed using various online analysis tools. These articles have been cited 10,842 times with 30.2 times per paper. The number of publications experienced explosive growth starting in 2015. China and the United States led this research initiative. Keywords were divided into 3 clusters, including "Pathophysiology of SCI", "Bioactive components of EVs", and "Therapeutic effects of EVs in SCI". By integrating the average appearing year (AAY) of keywords in VoSviewer with the time zone map of the Citation Explosion in CiteSpace, the focal point of research has undergone a transformative shift. The emphasis has moved away from pathophysiological factors such as "axon", "vesicle", and "glial cell" to more mechanistic and applied domains such as "activation", "pathways", "hydrogels" and "therapy". In conclusions, institutions are expected to allocate more resources towards EVs-loaded hydrogel therapy and the utilization of innovative materials for injury mitigation.