Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World

Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models' feasibility in clinical decision-making

BACKGROUND

Recent enhancements in Large Language Models (LLMs) such as ChatGPT have exponentially increased user adoption. These models are accessible on mobile devices and support multimodal interactions, including conversations, code generation, and patient image uploads, broadening their utility in providing healthcare professionals with real-time support for clinical decision-making. Nevertheless, many authors have highlighted serious risks that may arise from the adoption of LLMs, principally related to safety and alignment with ethical guidelines.

OBJECTIVE

To address these challenges, we introduce a novel methodological approach designed to assess the specific feasibility of adopting LLMs within a healthcare area, with a focus on clinical nursing, evaluating their performance and thereby directing their choice. Emphasizing LLMs' adherence to scientific advancements, this approach prioritizes safety and care personalization, according to the "Organization for Economic Co-operation and Development" frameworks for responsible AI. Moreover, its dynamic nature is designed to adapt to future evolutions of LLMs.

METHOD

Through integrating advanced multidisciplinary knowledge, including Nursing Informatics, and aided by a prospective literature review, seven key domains and specific evaluation items were identified as follows:A Peer Review by experts in Nursing and AI was performed, ensuring scientific rigor and breadth of insights for an essential, reproducible, and coherent methodological approach. By means of a 7-point Likert scale, thresholds are defined in order to classify LLMs as "unusable", "usable with high caution", and "recommended" categories. Nine state of the art LLMs were evaluated using this methodology in clinical oncology nursing decision-making, producing preliminary results. Gemini Advanced, Anthropic Claude 3 and ChatGPT 4 achieved the minimum score of the State of the Art Alignment & Safety domain for classification as "recommended", being also endorsed across all domains. LLAMA 3 70B and ChatGPT 3.5 were classified as "usable with high caution." Others were classified as unusable in this domain.

CONCLUSION

The identification of a recommended LLM for a specific healthcare area, combined with its critical, prudent, and integrative use, can support healthcare professionals in decision-making processes.

Teamwork and implementation of innovations in healthcare and human service settings: a systematic review

BACKGROUND

Implementation of new practices in team-based settings requires teams to work together to respond to new demands and changing expectations. However, team constructs and team-based implementation approaches have received little attention in the implementation science literature. This systematic review summarizes empirical research examining associations between teamwork and implementation outcomes when evidence-based practices and other innovations are implemented in healthcare and human service settings.

METHODS

We searched MEDLINE, CINAHL, APA PsycINFO and ERIC for peer-reviewed empirical articles published from January 2000 to March 2022. Additional articles were identified by searches of reference lists and a cited reference search for included articles (completed in February 2023). We selected studies using quantitative, qualitative, or mixed methods to examine associations between team constructs and implementation outcomes in healthcare and human service settings. We used the Mixed Methods Appraisal Tool to assess methodological quality/risk of bias and conducted a narrative synthesis of included studies. GRADE and GRADE-CERQual were used to assess the strength of the body of evidence.

RESULTS

Searches identified 10,489 results. After review, 58 articles representing 55 studies were included. Relevant studies increased over time; 71% of articles were published after 2016. We were unable to generate estimates of effects for any quantitative associations because of very limited overlap in the reported associations between team variables and implementation outcomes. Qualitative findings with high confidence were: 1) Staffing shortages and turnover hinder implementation; 2) Adaptive team functioning (i.e., positive affective states, effective behavior processes, shared cognitive states) facilitates implementation and is associated with better implementation outcomes; Problems in team functioning (i.e., negative affective states, problematic behavioral processes, lack of shared cognitive states) act as barriers to implementation and are associated with poor implementation outcomes; and 3) Open, ongoing, and effective communication within teams facilitates implementation of new practices; poor communication is a barrier.

CONCLUSIONS

Teamwork matters for implementation. However, both team constructs and implementation outcomes were often poorly specified, and there was little overlap of team constructs and implementation outcomes studied in quantitative studies. Greater specificity and rigor are needed to understand how teamwork influences implementation processes and outcomes. We provide recommendations for improving the conceptualization, description, assessment, analysis, and interpretation of research on teams implementing innovations.

TRIAL REGISTRATION

This systematic review was registered in PROSPERO, the international prospective register of systematic reviews.

REGISTRATION NUMBER

CRD42020220168.

Five decades of research on immediate implant therapy: A modern bibliometric network analysis via Altmetric and level of evidence mapping

AIM

To conduct a bibliometric network analysis to explore the research landscape of immediate implant placement (IIP) and provide insights into its trends and contributors.

MATERIALS AND METHODS

The Scopus database was utilized as the bibliographic source, and a search strategy was implemented to identify relevant research articles. Various bibliometric parameters were extracted, including publication year, journal, authors, citations, and funding. The analysis involved examining authorship patterns, international collaborations, level of evidence, Altmetric data, and funding analysis.

RESULTS

We identified a steady annual growth rate of 6.49% in IIP research. The top three countries contributing to research output were the USA, Italy, and China. Prolific authors were identified based on publication and citation metrics. International collaborations among different countries were observed. The level of evidence analysis revealed that over 30% of the articles fell into higher levels of evidence (levels 1 and 2). Altmetric data analysis indicated no significant correlations between citation counts and Altmetric Attention Score (AAS), and conversely a significant association with Mendeley readers count. Funding and open access did not significantly impact the bibliometric indices of the papers.

CONCLUSIONS

The focus of research on IIP has been evolving as indicated by an exponential growth rate in this study. Only approximately 16% of the articles fit into level 1 evidence, therefore, emphasizing on higher quality level research study shortage in this field. Modern indices can be used as new bibliometric indicators as they also cover social media and online attention scores.

Consumer Response to Novel Foods: A Review of Behavioral Barriers and Drivers

There is a pressing need for a transition toward more sustainable diets, which has become a shared priority for both consumers and businesses. Innovation is becoming increasingly widespread across all facets of the food supply chain. This innovation spans various domains related to production, including sustainable cultivation methods as well as new food technologies like gene editing, new product development like functional foods, and revitalizing underutilized and genetically diverse varieties to preserve biodiversity. However, not all innovative efforts are accepted by consumers and survive in markets. The interwoven and long agri-food supply chains often obscure the feedback loop between production and consumption. Consequently, it is important to understand to what extent consumers embrace these food innovations and form new eating habits. This review aims to investigate the consumer response to novel foods, focusing on behavioral factors, which have yet to receive as much attention as sensory factors. Peer-reviewed empirical articles from the last decade are examined inductively to develop a bird's-eye view of the behavioral barriers to and drivers of consumer acceptance of novel foods. In addition, strategies to overcome the identified challenges associated with the behavioral barriers are reviewed and examined. Based on this, the study links cognitive biases with behavioral factors influencing consumer acceptance of novel foods. This study concludes that the inconvenience associated with abandoning established eating habits is typically perceived as a loss, and avoiding this inconvenience is deemed more worth the risk than the potential gains associated with novel food consumption. This study suggests that framing and placing pro-diversity labels could serve as effective behavioral interventions for marketing strategists and food policymakers.

Bibliometric analysis of publication trends on ocular hygiene and infections in the past two decades

Background

Ocular hygiene encompasses a spectrum of measures to initiate and maintain adequate ocular cleanliness to prevent eye infections and their further transmission. These infections affect all age groups and can lead to severe complications such as blindness. Nearly 1 billion cases could have been prevented out of over 2.2 billion people that are visually impaired worldwide. This bibliometric analysis focuses on the papers published on ocular hygiene and infections.

Methods

We searched in the Scopus database from 2004 to 2024. After manual screening, a list of the 100 most-cited original articles was obtained, which was analysed for various factors, including temporal trends, subject areas, authorship patterns, country of origin, funding bodies, etc.

Results

There has been a gradual decline over the past two decades in the number of publications. The United States was affiliated with the highest number of publications (n=61), followed by The United Kingdom (n=12) and Gambia (n=8). Several authors had 4 or more publications, with the highest number of publications by Rouse, B. T. (n=14). The American Journal of Ophthalmology takes the lead with 15 publications, while the National Eye Institute (n=23) was the leading funding body. Examination of institutional contributions shows that The University of Tennessee, Knoxville and UT College of Veterinary Medicine stand out with twelve publications each. Nearly half the publications belong to the field of medicine. However, significant publications also come from the fields Neuroscience, Microbiology and Immunology, Biochemistry, Genetics and Molecular Biology, etc. These findings highlight that there is great potential to conduct research to propagate ocular hygiene to prevent adverse effects of infections.

A bibliometric analysis of the 100 top-cited systematic review and meta-analysis in Orthodontics

OBJECTIVE

This bibliometric study aimed to analyze the citation metrics, journal and author characteristics, and subject domains of the 100 top-cited Systematic Reviews (SR) and Meta-Analysis (MA) in orthodontics.

MATERIAL AND METHODS

An electronic database search was conducted for SR and MA in the Web of Science on 16th July 2023, without language and time restrictions. Of the 802 hits returned, the 100 top-cited orthodontic articles were shortlisted. They were analyzed for citation metrics, journal characteristics (journal, year of publication, impact factor-IF), author and affiliation characteristics (number, primary and corresponding author's affiliation, and country), study domain, and keywords.

RESULTS

These articles were published from 1996 to 2021 in 20 journals, with an impact factor of 1.9 to 10.5, by 351 researchers affiliated with 104 universities. Their citations ranged from 45 to 344, and 34 poised to be classified as classic (≥ 100 citations). The maximum number of articles was published in the American Journal of Orthodontics and Dentofacial Orthopedics (n=38), the European Journal of Orthodontics (n=18), and the Angle Orthodontist (n=8). The authors for individual papers ranged from 1 to 10, with 5 being the most common (n=58). Europe had the highest contribution regarding the number of corresponding authors, institutions, and citations. Bone anchorage and orthodontic tooth movement/Biomechanics were the most frequently researched domains (n=11 each). The most common keyword used was Orthodontics (n=19), followed by Systematic Review (n=16) and Meta-analysis (n=9).

CONCLUSION

In general, the top cited SR and MA were published in high-impact orthodontic journals, were multi-authored, and reflected the collaborative work from different universities.

Deciphering the future of electric vehicles amid emissions and adoption drivers

Climate change and CO2 emissions are critical challenges for the environment and humanity. There is extensive literature on greenhouse gas (GHG) emissions, in particular CO2 emissions. However, comprehensive analyses focusing on electric vehicles (EVs) and their impact are lacking. This study fills this gap by conducting a bibliometric analysis of 1143 peer-reviewed studies from 1989 to 2023. We aimed to identify influential contributions, understand the field's structure, and reveal research gaps. Analysis included citation networks, research impact, authorship patterns, content, and publication trends. We utilized bibliometric techniques to identify the most dominant countries, institutions, authors, journals, articles, and thematic areas related to EVs and emissions. Additionally, we overviewed publications associated with key search terms. Guided by five research dimensions (EVs, emissions, adoption, policies, and infrastructures), we framed specific research questions. This research provides valuable insights for environmentalists, policymakers, regulators, and academic researchers, facilitating access to crucial data on EVs and emissions.

Kidney medicine meets computer vision: a bibliometric analysis

BACKGROUND AND OBJECTIVE

Rapid advances in computer vision (CV) have the potential to facilitate the examination, diagnosis, and treatment of diseases of the kidney. The bibliometric study aims to explore the research landscape and evolving research focus of the application of CV in kidney medicine research.

METHODS

The Web of Science Core Collection was utilized to identify publications related to the research or applications of CV technology in the field of kidney medicine from January 1, 1900, to December 31, 2022. We analyzed emerging research trends, highly influential publications and journals, prolific researchers, countries/regions, research institutions, co-authorship networks, and co-occurrence networks. Bibliographic information was analyzed and visualized using Python, Matplotlib, Seaborn, HistCite, and Vosviewer.

RESULTS

There was an increasing trend in the number of publications on CV-based kidney medicine research. These publications mainly focused on medical image processing, surgical procedures, medical image analysis/diagnosis, as well as the application and innovation of CV technology in medical imaging. The United States is currently the leading country in terms of the quantities of published articles and international collaborations, followed by China. Deep learning-based segmentation and machine learning-based texture analysis are the most commonly used techniques in this field. Regarding research hotspot trends, CV algorithms are shifting toward artificial intelligence, and research objects are expanding to encompass a wider range of kidney-related objects, with data dimensions used in research transitioning from 2D to 3D while simultaneously incorporating more diverse data modalities.

CONCLUSION

The present study provides a scientometric overview of the current progress in the research and application of CV technology in kidney medicine research. Through the use of bibliometric analysis and network visualization, we elucidate emerging trends, key sources, leading institutions, and popular topics. Our findings and analysis are expected to provide valuable insights for future research on the use of CV in kidney medicine research.

Based on CiteSpace Insights into Illicium verum Hook. f. Current Hotspots and Emerging Trends and China Resources Distribution

Illicium verum Hook. f. is a globally significant spice, which is recognized in China as a food-medicine homolog and extensively utilized across the pharmaceutical, food, and spice industries. China boasts the world's leading resources of I. verum, yet its comprehensive utilization remains relatively underexplored. Through a resource survey of I. verum and the application of bibliometric visualization using CiteSpace, this study analyzed 324 papers published in the Web of Science Core Collection (WOSCC) from 1962 to 2023 and 353 core documents from China's three major databases (CNKI, Wanfang Database, and VIP Database). I. verum from Guangxi province towards various southern provinces in China, with autumn fruits exhibited superior quality and market value over their spring fruits. Literature in WOSCC emerged earlier, with a research emphasis on food science technology and pharmacology pharmacy domains. WOSCC research on I. verum could be divided into two phases: an embryonic period (1962-2001) and a growth period (2002-2023), showing an overall upward trend in publication. The three major Chinese databases contain a larger number of publications, with a focus on the food sector, which could be categorized into three stages: an embryonic period (1990-1999), a growth period (2000-2010), and a stable period (2011-2023), with an overall downward trend in publication. Both Chinese and international research hotspots converge on the medical applications of I. verum, with antioxidant bioactivity research emerging as a prevailing trend. This study delineated the resource distribution of I. verum across China and identified the research hotspots and trends both in China and internationally. The findings are beneficial for guiding researchers in swiftly establishing their research focus and furnishing decision-makers with a comprehensive reference for industry information.

Application of tele-neuropsychology and tele-mental health before and during COVID-19 era: a bibliometric analysis

Background

Telehealth use was previously limited by strict regulations and financial constraints. However, the pandemic prompted some countries to ease their telehealth laws. Thus, we conducted a bibliometric analysis and network visualization to gauge changes in tele-neuropsychology (Tele-NP) and tele-mental Health (Tele-MH) trends with the onset of the COVID-19 pandemic.

Materials and methods

The authors conducted a literature search on SCOPUS and included relevant articles pertaining to Tele-NP and Tele-MH, which were published before the COVID-19 pandemic (2017-2019) and during the COVID-19 pandemic (2020-2022). The authors presented publication patterns on psychiatric disorders, mode of administration, journals, active countries, authors, affiliations, funding sponsors, keywords, publication, and citation output.

Results

Three hundred forty-one articles were included in our study with 80 articles before the pandemic and 261 during the pandemic. Our analysis revealed the greatest increase in publications and citations output was from the year 2020 to 2021. A greater number of journals published tele-NP and tele-MH-related research, with higher frequency, during the COVID-19 pandemic with Telemedicine and E-health leading the way. WHO regional analysis revealed that the Region of the Americas (AMRO) was the leading contributor in terms of publications. Harvard Medical Center remained the number one contributor both before and during the COVID-19- pandemic. Publications by funding sponsors, particularly by those that were US-based, increased twice as much during the pandemic.

Conclusion

The increase in research output following the COVID-19 outbreak reflects the growing interest and relevance of telemedicine for the delivery of mental health services.

Wearable Biosensor Technology in Education: A Systematic Review

Wearable Biosensor Technology (WBT) has emerged as a transformative tool in the educational system over the past decade. This systematic review encompasses a comprehensive analysis of WBT utilization in educational settings over a 10-year span (2012-2022), highlighting the evolution of this field to address challenges in education by integrating technology to solve specific educational challenges, such as enhancing student engagement, monitoring stress and cognitive load, improving learning experiences, and providing real-time feedback for both students and educators. By exploring these aspects, this review sheds light on the potential implications of WBT on the future of learning. A rigorous and systematic search of major academic databases, including Google Scholar and Scopus, was conducted in accordance with the PRISMA guidelines. Relevant studies were selected based on predefined inclusion and exclusion criteria. The articles selected were assessed for methodological quality and bias using established tools. The process of data extraction and synthesis followed a structured framework. Key findings include the shift from theoretical exploration to practical implementation, with EEG being the predominant measurement, aiming to explore mental states, physiological constructs, and teaching effectiveness. Wearable biosensors are significantly impacting the educational field, serving as an important resource for educators and a tool for students. Their application has the potential to transform and optimize academic practices through sensors that capture biometric data, enabling the implementation of metrics and models to understand the development and performance of students and professors in an academic environment, as well as to gain insights into the learning process.

Are we eating plastic? Science mapping of microplastic pollution in the aquatic food chain

This study evaluates the knowledge structure of microplastic pollution and its effects on the aquatic food chain. The presence of microplastics has seriously harmed the ecosystem. Through bibliometric analysis, 216 journal publications were retrieved from the Web of Science (WoS) from 2008 to 2023 (April), with no restriction in the time frame. Applying bibliographic coupling and co-word analysis, the emerging, current, and future themes of microplastic pollution are presented. Three research streams are derived from bibliographic coupling, centralized on the source of microplastic pollution and its impact. At the same time, research streams from co-word analysis are associated with overcoming the issue of microplastics in the ecosystem. This study's implications suggest three main principles to mitigate microplastic issues: (1) educating the public on the impact of microplastic pollution, (2) implementing holistic regulations and policies, and (3) developing treatment strategies through conventional, innovative, and hybrid approaches. Microplastic pollution is a global concern, requiring a holistic and comprehensive approach to overcome it. This review is the first to present a scientific mapping of the microplastics literature, which is a fundamental basis for future research on microplastic pollution and its impact on the ecosystem. Integr Environ Assess Manag 2024;00:1-12. © 2024 SETAC.

Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature

In recent decades, the term "ecosystem" has garnered substantial attention in scholarly and managerial discourse, featuring prominently in academic and applied contexts. While individual scholars have made significant contributions to the study of various types of ecosystem, there appears to be a research gap marked by a lack of comprehensive synthesis and refinement of findings across diverse ecosystems. This paper systematically addresses this gap through a hybrid methodology, employing bibliometric and content analyses to systematically review the literature from 1993 to 2023. The primary research aim is to critically examine theoretical studies on different ecosystem types, specifically focusing on business, innovation, and platform ecosystems. The methodology of this study involves a content review of the identified literature, combining quantitative bibliometric analyses to differentiate patterns and content analysis for in-depth exploration. The core findings center on refining and summarizing the definitions of business, innovation, and platform ecosystems, shedding light on both commonalities and distinctions. Notably, the research unveils shared characteristics such as openness and diversity across these ecosystems while highlighting significant differences in terms of participants and objectives. Furthermore, the paper delves into the interconnections within these three ecosystem types, offering insights into their dynamics and paving the way for discussions on future research directions. This comprehensive examination not only advances our understanding of business, innovation, and platform ecosystems but also lays the groundwork for future scholarly inquiries in this dynamic and evolving field.

A Bibliometric Review of Constituents, Themes, and Trends in Online Medical Consultation Research

As an emerging form of health care with accelerated growth in recent years, online medical consultation (OMC) has received extensive attention worldwide. Although the number of studies on OMC has increased substantially, few provide a comprehensive and up-to-date review of OMC's research constituents, themes, and trends. This study, therefore, extracted 1,801 OMC-related articles published in English from the Web of Science (WoS) Core Collection database during the past 30 years and employed a bibliometric analysis of WoS and CiteSpace to examine major constituents' distribution, collaboration relationships, themes, and trends. The results indicate that the United States, England, and China contributed the most to the proliferation of OMC studies. The United States had the greatest academic influence and the most collaborative connections, while China demonstrated the sharpest increase and most active development in recent years. However, there is a lack of substantial and close collaboration between researchers worldwide. The main themes of OMC research were Internet hospitals, COVID-19, mixed methods, online health community, and information technology. Researchers have recently shifted their attention to social media, management, efficacy, word of mouth, mental health, and anxiety. This review paper provides researchers and practitioners with a holistic and clear understanding of the features and trends of OMC research. It also identifies potential areas for future OMC research and sheds light on OMC practices.

Molecular mechanisms involved in doxorubicin-induced cardiotoxicity: A bibliometrics analysis by VOSviewer

Doxorubicin is a potent chemotherapeutic agent that can cause cardiotoxicity. Many documents (more than 14,000) have been published in the area of doxorubicin-induced cardiotoxicity (DIC) since 1970. A comprehensive bibliographic analysis of author keywords was used to describe better and understand the molecular mechanisms involved in DIC. The objective was to consider the state of the author keywords of research on the molecular mechanisms involved in DIC based on a bibliometrics study of articles published over the past fifty years. A bibliometrics analysis was conducted using VOSviewer with data collected from the Web of Science Core Collection database of over 14,000 documents (from 1970 to July 19, 2023). Using scientific publications retrieved about DIC, author keywords were assessed at the scientific field level. The current study showed that the annual number of DIC-related publications has increased over the past 50 years. The Journal of Clinical Oncology is the leading journal in this field. The top cited DIC document was published in 2004. The top keywords with high frequency were "doxorubicin," "cardiotoxicity," and "adriamycin." According to the results of this study, the most common mechanisms involved in DIC were as follows oxidative stress, apoptosis, inflammation, autophagy, mitophagy, endoplasmic reticulum stress, pyroptosis, and ferroptosis. The highest occurrences of regulators-related author keywords were "AKT," "Sirt1," and "AMPK." Based on the findings, oxidative stress, apoptosis, inflammation, autophagy, mitophagy, endoplasmic reticulum stress, pyroptosis, and ferroptosis were hot research mechanisms of DIC from 1970 to July 19, 2023.

Scholarly communication between health informatics and information systems: A bibliometric study

The challenges of IT adoption in the healthcare sector have generated much interest across a range of research communities, including Information Systems (IS) and Health Informatics (HI). Given their long-standing interest in IT design, development, implementation, and adoption to improve productivity and support organisational transformation, the IS and HI fields are highly correlated in their research interests. Nevertheless, the two fields serve different academic audiences, have different research foci, and theorise IT artifacts differently. We investigate the dyadic relationship between health information systems (HIS) research in IS and HI through the communication patterns between the two fields. We present the citation analysis results of HIS research published in IS and HI journals between 2000 and 2020. The results revealed that despite the two fields sharing a common interest, communication between them is limited and only about specific topics. Potentially relevant ideas and theories generated in IS have not yet been sufficiently recognised by HI scholars and incorporated into the HI literature. However, the upward trend of HIS publications in IS indicates that IS has the potential to contribute more to HI.

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.

An adaptive data-driven architecture for mental health care applications

Background

In the current era of rapid technological innovation, our lives are becoming more closely intertwined with digital systems. Consequently, every human action generates a valuable repository of digital data. In this context, data-driven architectures are pivotal for organizing, manipulating, and presenting data to facilitate positive computing through ensemble machine learning models. Moreover, the COVID-19 pandemic underscored a substantial need for a flexible mental health care architecture. This architecture, inclusive of machine learning predictive models, has the potential to benefit a larger population by identifying individuals at a heightened risk of developing various mental disorders.

Objective

Therefore, this research aims to create a flexible mental health care architecture that leverages data-driven methodologies and ensemble machine learning models. The objective is to proficiently structure, process, and present data for positive computing. The adaptive data-driven architecture facilitates customized interventions for diverse mental disorders, fostering positive computing. Consequently, improved mental health care outcomes and enhanced accessibility for individuals with varied mental health conditions are anticipated.

Method

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the researchers conducted a systematic literature review in databases indexed in Web of Science to identify the existing strengths and limitations of software architecture relevant to our adaptive design. The systematic review was registered in PROSPERO (CRD42023444661). Additionally, a mapping process was employed to derive essential paradigms serving as the foundation for the research architectural design. To validate the architecture based on its features, professional experts utilized a Likert scale.

Results

Through the review, the authors identified six fundamental paradigms crucial for designing architecture. Leveraging these paradigms, the authors crafted an adaptive data-driven architecture, subsequently validated by professional experts. The validation resulted in a mean score exceeding four for each evaluated feature, confirming the architecture's effectiveness. To further assess the architecture's practical application, a prototype architecture for predicting pandemic anxiety was developed.

Educational inclusion and satisfaction of families of students with intellectual disabilities: a bibliometric study

This bibliometric study scrutinizes the corpus of scientific output within the Web of Science pertaining to familial satisfaction among parents raising children with intellectual disabilities, focusing specifically on the milieu of educational inclusion. The analysis discerns a discernible ascension in scholarly interest in this domain, encapsulating 77 papers emanating from 75 journals, incorporating an aggregate of 3,497 cited references. Our investigation delineated 354 researchers across 39 nations, underscoring the transnational purview of this scholarly endeavor. The United States emerged as the pre-eminent contributor, with Canada and the United Kingdom following suit. Collaboration on an international scale was notably led by the US, with the UK and Australia trailing in tandem. Prominent institutions were identified for their scholarly output; the University of Kansas led with four papers, followed closely by Monash University, University of California Los Angeles, and University of California Riverside, each contributing three papers. Of particular note, the University of Kansas accrued 250 global citations (TGCS). A total of 75 journals were encompassed in this study. The Journal of Intellectual Disability Research emerged as the vanguard with four published papers, closely trailed by Child Care Health and Development and Exceptional Children. Notably, the latter boasted the highest impact factor (JCR = 4.09; Q1). In summation, this review proffers a meticulous and expansive overview of extant scholarship concerning the experiences of families rearing children with disabilities within the inclusive education framework.

Development and applications of the Anaesthetists' Non-Technical Skills behavioural marker system: a systematic review

OBJECTIVES

To comprehensively synthesise evidence regarding the validity and reliability of the Anaesthetists' Non-Technical Skills (ANTS) behavioural marker system and its application as a tool for the training and assessment of non-technical skills to improve patient safety.

DESIGN

Systematic review.

DATA SOURCES

We employed a citation search strategy. The Scopus and Web of Science databases were searched for articles published from 2002 to May 2022.

ELIGIBILITY CRITERIA

English-language publications that applied the ANTS system in a meaningful way, including its use to guide data collection, analysis and reporting.

DATA EXTRACTION AND SYNTHESIS

Study screening, data extraction and quality assessment were performed by two independent reviewers. We appraised the quality of included studies using the Joanna Briggs Institute Critical Appraisal Checklists. A framework analysis approach was used to summarise and synthesise the included articles.

RESULTS

54 studies were identified. The ANTS system was applied across a wide variety of study objectives, settings and units of analysis. The methods used in these studies varied and included quantitative (n=42), mixed (n=8) and qualitative (n=4) approaches. Most studies (n=47) used the ANTS system to guide data collection. The most commonly reported reliability statistic was inter-rater reliability (n=35). Validity evidence was reported in 51 (94%) studies. The qualitative application outcomes of the ANTS system provided a reference for the analysis and generation of new theories across disciplines.

CONCLUSION

Our results suggest that the ANTS system has been used in a wide range of studies. It is an effective tool for assessing non-technical skills. Investigating the methods by which the ANTS system can be evaluated and implemented for training within clinical environments is anticipated to significantly enhance ongoing enhancements in staff performance and patient safety.

PROSPERO REGISTRATION NUMBER

CRD42022297773.

Unveiling the gender gap in research: a bibliometric analysis of the 100 most-cited articles on food-borne pathogen outbreaks from 1990 to 2020

Introduction

Despite a recent increase in the representation of female authors in scientific literature, a significant gap persists concerning the inclusion of women in research. This necessitates the analysis of published literature from a gender perspective. This study aimed to provide gender distribution in authorship in the 100 most-cited articles on food-borne pathogen outbreaks from 1990 to 2020.

Methods

Bibliometric analysis was conducted using the Scopus database. Two reviewers were selected to search the database. We included the 100 most-cited articles on foodborne outbreak investigations. The analysis was conducted using Statistical Package for Social Sciences (SPSS) version 26 and Microsoft Excel version 2016. The citation data, including total citations, citations per year, and representation of women as first and senior authors, was analyzed in terms of frequencies, mean, median, and interquartile range. The correlation between journal impact factor and the representation of women in high-impact factor journals was determined. A p-value of <0.05 was considered significant.

Results

Most of the top-cited articles were published between 2001 and 2010 (n=47). The top 3 most-cited articles were from the USA. Of the total 100 articles, women were the first and last authors in 46% and 28% of the articles, respectively, reflecting a significant gender gap. However, the proportion of females as principal investigators gradually increased from 25% (n=10/30) to 52% (n=24/47) during the period 2001-2010 and to 92% (n=12/13) during 2011-2020. The USA had the highest number of included articles (n=48), and women were principal authors in 56% (n=27) of them. The lowest representation of women was observed in Austria, Denmark, Japan, Netherlands, New Zealand, Nigeria, Portugal, and the United Kingdom.

Conclusion

Women are under-represented in published literature on food-borne pathogen outbreaks. Although the representation of women as principal authors has recently increased, disparities still exist at the senior-author level, calling for women's advancement in academic science.

Artificial Intelligence in Telemedicine: A Global Perspective Visualization Analysis

Background: The use of artificial intelligence (AI) in telemedicine has been a popular topic in academic research in recent years, resulting in a surge of literature publications. This study provides a scientific overview of AI in telemedicine through bibliometric and visualization analysis. Methods: The Web of Science Core Collection was used as the data source, and the search was conducted on June 1, 2023. A total of 2,860 articles and review studies published in English between 2010 and 2023 were included. This study analyzed general information on the field, trends in publication output, countries/regions, authors, journals, influential articles, keyword usage, and knowledge flows between disciplines. The Bibliometrix R package, VOSviewer, and CiteSpace were used for the analysis. Results: The rate of articles published on AI in telemedicine is increasing by ∼42.1% annually. The United States and China are the top two countries in terms of the number of articles published, accounting for 37.1% of the overall publication volume. In addition to AI and telemedicine, machine learning, digital health, and deep learning are the top three keywords in terms of frequency of occurrence. The keyword time trend graph shows that ChatGPT became one of the important keywords in 2023. The analysis of burst detection suggests that mobile health, based on mobile phones, may be a promising area for future research. Conclusions: This study systematically reviewed the development of AI in telemedicine and identified current research hotspots and future research directions. The results will provide impetus for the innovative development of this field.

Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis

BACKGROUND

The use of machine learning and deep learning techniques in the research on diabetes has garnered attention in recent times. Nonetheless, few studies offer a thorough picture of the knowledge generation landscape in this field. To address this, a bibliometric analysis of scientific articles published from 2000 to 2022 was conducted to discover global research trends and networks and to emphasize the most prominent countries, institutions, journals, articles, and key topics in this domain.

METHODS

The Scopus database was used to identify and retrieve high-quality scientific documents. The results were classified into categories of detection (covering diagnosis, screening, identification, segmentation, among others), prediction (prognosis, forecasting, estimation), and management (treatment, control, monitoring, education, telemedicine integration). Biblioshiny and RStudio were used to analyze the data.

RESULTS

A total of 1773 articles were collected and analyzed. The number of publications and citations increased substantially since 2012, with a notable increase in the last 3 years. Of the 3 categories considered, detection was the most dominant, followed by prediction and management. Around 53.2% of the total journals started disseminating articles on this subject in 2020. China, India, and the United States were the most productive countries. Although no evidence of outstanding leadership by specific authors was found, the University of California emerged as the most influential institution for the development of scientific production.

CONCLUSION

This is an evolving field that has experienced a rapid increase in productivity, especially over the last years with exponential growth. This trend is expected to continue in the coming years.

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.

An overview on recent patents and technologies on nanoparticles for nucleic acid delivery

INTRODUCTION

Nucleic acid-based therapeutics offer groundbreaking potential for treating genetic diseases and advancing next-generation vaccines. Despite their promise, challenges in efficient delivery persist due to the properties of nucleic acids. Nanoparticles (NPs) serve as vital carriers, facilitating effective delivery to target cells, and addressing these challenges. Understanding the global landscape of patents in this field is essential for fostering innovation and guiding decision-making for researchers, the pharmaceutical industry, and regulatory agencies.

AREAS COVERED

This review provides a comprehensive overview of patent compositions, applications, and manufacturing aspects concerning NPs as nucleic acid delivery systems. It delves into temporal trends, protection locations, market dynamics, and the most influential technological domains. In this work, we provide valuable insights into the advancements and potential of NP-based nucleic acid delivery systems, with a special focus on their pivotal role in advancing cutting-edge therapeutic solutions.

EXPERT OPINION

Investment in NPs for nucleic acid delivery has significantly surged in recent years. However, translating these therapies into clinical practice faces obstacles, including the need for robust clinical evidence, regulatory compliance, and streamlined manufacturing processes. To address these challenges, our review article summarizes recent advances. We aim to engage researchers worldwide in the development of these promising technologies.

Research landscape of energy transition and green finance: A bibliometric analysis

This study utilizes bibliometric analysis to examine historical and present research patterns in the area of energy transition and green finance and to forecast potential future domains. Using the bibliometric method, 328 scholarly articles from the Web of Science database were evaluated. This paper identifies influential publications, maps the research landscape, and forecasts emerging tendencies through co-citation and co-word analyses. Co-citation analysis found three main clusters, while co-word analysis revealed four main clusters. Despite the growing significance of research on energy transition and green finance research, further in-depth investigation is necessary to offer a thorough depiction of the research domain. This research represents a pioneering endeavour in the utilization of bibliometric analysis to investigate the interrelationship between two items. It offers valuable insights into the rapidly expanding field of energy transition and green finance, effectively highlighting its contours and indicating potential future developments.

A bibliometric review study of Michael Burawoy

This review article utilizes the technique of citation-based bibliometric analysis to provide a comprehensive understanding of the scholarly contributions made by sociologist Michael Burawoy. The most influential academic articles published by Burawoy were retrieved for analyses. Following this, scholars, journals and institutions that he most frequently collaborated with were traced. Further, country-wise analysis of his scholarship was carried out. Lastly, content analyses of retrieved articles identified prominent thematic domains in sociology to which Burawoy contributed, while temporal analyses helped to identify some emerging research hotspots. Findings reveal that historical and cultural context of Burawoy's research mostly remained confined to the U.S.A., however, he significantly contributed towards the foundation of sociology in the Global South and studied the ensuing global power imbalances. Contemporary sociological thought remains indebted to Burawoy for his comparative study of industrial relations in the 21st century, and recently, his elaboration upon the need for public sociology has taken the discipline in new intellectual directions that appeals to a broader sociological community.

Surveillance and patient safety in nursing research: A bibliometric analysis from 1993 to 2023

AIMS

To identify and characterize the thematic foci, structure and evolution of nursing research on surveillance and patient safety.

DESIGN

Bibliometric analysis.

METHODS

Bibliometric methods were employed to analyse 1145 articles, using Bibliometrix and VOSviewer software.

DATA SOURCE

The Scopus bibliographic database was searched on April 7, 2023.

RESULTS

A keyword co-occurrence analysis found the most frequently occurring keywords to be: patient safety, nursing, nurses, adverse events, monitoring, critical care, quality improvement, vital signs, safety, alarm fatigue, education, nursing care, surveillance, clinical alarms, failure to rescue, evidence-based practice, acute care, clinical deterioration, communication, intensive care. Network mapping, clustering and time-tracking of the keywords revealed the focal themes, structure and evolution of the research field.

CONCLUSION

By assessing critical areas of the nursing research field, this study extends and enriches the current discourse on surveillance and patient safety for nursing researchers and practitioners. Critical challenges still have to be met by nurses, however, including the failure to rescue deteriorating patients. Further knowledge and understanding of surveillance and patient safety must be successfully translated from research to practice.

IMPLICATIONS FOR THE PROFESSION

This study highlights the gaps in nursing knowledge with regard to surveillance and patient safety and encourages nursing professionals to turn to evidence-based surveillance practices.

IMPACT

In addressing the problem of surveillance and its effect on patient safety, this study found that, in most clinical care settings, preventing failures to rescue and adverse patient outcomes still remains a challenge for the nursing profession. This study should have an impact on nursing academics' future research themes and on nursing professionals' future clinical practices.

REPORTING METHOD

Relevant EQUATOR guidelines have been adhered to by employing recognized bibliometric reporting methods.

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.

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.

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.

The Origins and Evolution of the Field of Masculinity and Suicide: A Bibliometric and Content Analysis of the Research Field

BACKGROUND

In most countries, men complete suicide at twice the rate of women; masculinity plays an important role in placing men at a greater risk of suicide. This study identifies and describes trends in the topics discussed within the masculinity and suicide literature and explores changes over time.

METHODS

We retrieved publications relating to masculinity and suicide from eight electronic databases and described origins in the field of research by reference to the first decade of publications. We then explored the subsequent evolution of the field by analysis of the content of article titles/abstracts for all years since the topic first emerged, and then separately by three epochs.

RESULTS

We included 452 publications (1954-2021); research output has grown substantially in the last five years. Early publications framed suicide in the context of severe mental illness, masculinity as a risk factor, and suicidality as being aggressive and masculine. We observed some differences in themes over time: Epoch 1 focused on sex differences in suicidality, a common theme in epochs 2 was relationship to work and its effect on men's mental health and suicidality, and epoch 3 had a focus on help-seeking in suicidality.

CONCLUSION

The research field of masculinity and suicide is growing strongly, as evidenced by recent increase in publication volume. The structure, content and direction of the masculinity and suicide research are still evolving. Researchers must work with policymakers and practitioners to ensure that emerging findings are translated for use in programs designed to address suicide in boys and men.HIGHLIGHTSMasculinity and suicide as a field is not new, with its origins in the literature dating back to 1954.More than half of the total research output in the field (1954-2021) has been published in the last five years.Early work focused on individual-level risk factors to male suicide (e.g., severe mental illness), while contemporary research focused on social and cultural determinants of male suicide (e.g., help-seeking).

A systematic review of trends in photobiomodulation in dentistry between 2018 and 2022: advances and investigative agenda

Background

Photobiomodulation (PBM) involves laser therapy utilized in medical sciences to modulate biological processes acting as a palliative and immune response-enhancing treatment. This study conducts a comprehensive bibliometric analysis to explore current trends in PBM-related scientific production, encompassing publications, citations, impact, keywords and clusters. Additionally, it aims to predict future research trends in this domain.

Methods

The data for this quantitative and qualitative bibliometric analysis were obtained from 608 scientific documents retrieved in November 2022, with 123 sourced from Web of Science and 485 from Scopus, Utilizing Excel, the data was processed in Excel to extract essencial information. Productivity and impact were evaluated for eligibility, and VOSviewer aided in determining associativity for the bibliometric analysis.

Results

The findings of this study demostrate that the scientific production related to PBM adheres to a growth power law, exhibiting characteristics of both exponential and linear phases. Notably, recent research trends emphasize critical concepts such as laser therapy, orthodontics, and dental pulp stem cells. Particularly significant is the burgeoning interest in utilizing PBM within dentistry as a complementary alternative to existing protocols.

Conclusions

PBM stands as a promising laser therapy within medical applications. Through a detailed bibliometric analysis, this study underscores the increasing significance of PBM, especially within the realm of dental treatments. These insights offer a glimpse into the evolving landscape of PBM research and provide valuable guidance for potential future directions of study.

Bibliometric Evaluation of the 100 Top-Cited Articles on Anesthesiology

This review is a bibliometric analysis based on anesthesiology, which is a medical specialty that deals with a patient's complete preoperative, intraoperative, and postoperative care. The objective of the review attempts to analyze the bibliometric characteristics of the 100 most top-cited articles on anesthesiology. The meta-data of the study were collected from the Core Collection of Web of Science database. A title search option was employed, and "Anesthesia" and "Anesthesiology" were typed in two different search boxes separated with the Boolean operator ''OR''. Further, the data were sorted by highest citation order; later, "article" was selected from the filter of document type, and all other types of documents were excluded. Finally, downloaded the bibliographic details of the 100 top-cited articles. VOSviewer Software (version 1.6.10 by van Eck and Waltman) was used for bibliometric network analysis for co-authors and keywords. Pearson chi-square test was used for statistical analysis. The 100 top-cited articles were published between the years of 1971 and 2018. These articles gained a maximum of 1006 to a minimum of 276 citations with an average of 384.57 cites/article. Open accessed articles gained a slightly higher ratio of citations, while more than half of the articles were published in the two leading journals of "Anesthesiology" and "Anesthesia and Analgesia". There was no statistically significant difference in both citation analysis among open and closed access journals and Anesthesia vs Non-Anesthesia journals. Thirty-six articles were published in journals not specifically related to Anesthesia. Most of the top-cited articles were contributed by the United States, whereas Surgery and General Anesthesia were the two most occurred keywords.  We conclude that all the top-cited articles in anesthesiology were contributed by authors who belonged to the developed nations and the United States outclassed the rest of the world. This bibliometric analysis would be valuable to practitioners, academics, researchers, and students to understand the dynamics of progress in the field of anesthesiology.

Women's financial literacy: A bibliometric study on current research and future directions

This study undertakes a bibliometric and content analysis on women's financial literacy. The purpose of a bibliometric research on financial literacy and women is to carefully evaluate and quantify the body of literature on this subject. It attempts to identify trends, research gaps, significant authors, and essential ideas, offering a thorough overview that might direct future research and policy activities to increase women's financial literacy and well-being. The data extraction commenced in January 2023 with a thorough criteria search for articles, which includes inclusion and exclusion criteria using Web of Science Core database, resulting in 312 articles, published between 1998 and 2022. Biblioshiny application as well as the VOSviewer software for network visualization of keywords and bibliographic coupling is used. Based on the outcomes of the scientific bibliographic coupling, dominant themes were identified - "Global Financial Literacy: Addressing Disparities and Enhancing Education", "Addressing gender gap in financial inclusion and personal finance behaviour", "Empowerment through Financial Literacy: Overcoming the Manacles of Domestic Violence" and "Women's retirement planning and preparedness". Future research in this area could examine global gender differences in financial literacy, implement targeted financial education interventions, incorporate financial literacy and economic empowerment into domestic violence policies, investigate factors influencing women's retirement planning, and advance gender equality and financial well-being globally. The outcome from the future research is anticipated to assist regulatory bodies, government agencies and non-profit organization in enhancing existing regulations (specifically for women) and provide the platform for a sustainable wealth management and well-being program for women.

Research trends and hotspots in the immune microenvironment related to osteosarcoma and tumor cell aging: a bibliometric and visualization study

Background

It is well known that cancers have a common feature that even if the environment is extremely poor in nutrients, they can still make good use of them to maintain viability as well as to produce new biomass, which is one of the reasons why tumor cells are powerfully less susceptible to senescence and death. The microenvironment has a profound impact on the senescence as well as the growth and development of tumor cells, and it is also the focus of scientists' research because it may even affect the discovery of the treatment and pathogenesis of cancer. And so the study of the microenvironment in the tumor cells is of great significance to the analysis of the tumor cells as well as to the impact of their senescence. Similarly, the microenvironment of osteosarcoma is also crucial for its impact, but to our knowledge, there is no bibliometric study that systematically analyzes and describes the trends and future hotspots in this field of research as we do, and we are going to fill this gap in this study.

Methods

We searched the Web Science Core Collection 2010-2023 in WOS on August 1, 2023. Based on the criteria needed for the search, we retained articles that matched the topic, excluded studies other than articles and reviews, and selected only studies whose language was English. We performed an intuitive visualization and bibliometric approach to analyze the research content in this field and a systematic visualization of global trends and hotspots in the research of osteosarcoma and the microenvironment, for which we used multiple specialized For this purpose, we used several specialized software packages, such as VOSviewer and the Bibliometrix package for R software. Because research in this area of osteosarcoma and the microenvironment has begun to gain popularity in the last 10 years or so, and is a very novel piece of research, there were almost no studies in this area prior to 2010 and they were not very informative, and in the end, we chose to look at studies from after 2010.

Results

Based on the criteria needed for the search, resulting in a final selection of 821 articles. In the research area related to osteosarcoma and microenvironment, we found that China in Asia and the United States in North America and Italy in Europe were the three countries or regions with the highest number of published articles. In addition, the institution that published the most research in this area was Shanghai Jiao Tong University. In terms of publications in the field of osteosarcoma and microenvironmental research, Baldini, Heymann, and Avnet are among the top 3 authors. The terms "cancer", "cells" and "expression" are found to be more commonly employed.

Conclusion

Using a variety of highly specialized software, we have undertaken a visual and bibliometric study of the current state of research and potential future hotspots in the field of osteosarcoma and microenvironment research. The microenvironment has a profound impact on the senescence and growth and development of cells in tumors, including osteosarcoma, and may even influence the discovery of cancer treatment and pathogenesis, and is also a hotspot and focus that scientists have begun to gradually study in recent years. This analysis and visualization will help guide future research in the field.

Smart home adoption factors: A systematic literature review and research agenda

Smart homes represent the complement of various automation technologies that together make up a network of devices facilitating the daily tasks of residents. These technologies are being studied for their application from different sectors, including the projection of their use to improve energy consumption planning and health care management. However, technology adoption depends on social awareness within the scope of cognitive advantages and innovations compared to perceived risk because although there are multiple benefits, potential users express fears related to the loss of autonomy and security. This study carries out a systematic literature review based on PRISMA in order to analyze research trends and literary evolution in the technological adoption of smart homes, considering the main theories and variables applied by the community. In proposing a research agenda in accordance with the identified gaps and the growing and emerging themes of the object of study, it is worth highlighting the growing interest in the subject, both for the present and its development in the future. Until now, adoption factors have been attributed more to the technological acceptance model and the diffusion of innovation theory, adopting components of the Theory of Planned Behavior; therefore, in several cases, the attributes of different theories are merged to adapt to the needs of each researcher, promoting the creation of empirical and extended models.

Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis

Objective

Artificial intelligence (AI), with its potential to diagnose skin cancer, has the potential to revolutionize future medical and dermatological practices. However, the current knowledge regarding the utilization of AI in skin cancer diagnosis remains somewhat limited, necessitating further research. This study employs visual bibliometric analysis to consolidate and present insights into the evolution and deployment of AI in the context of skin cancer. Through this analysis, we aim to shed light on the research developments, focal areas of interest, and emerging trends within AI and its application to skin cancer diagnosis.

Methods

On July 14, 2023, articles and reviews about the application of AI in skin cancer, spanning the years from 1900 to 2023, were selected from the Web of Science Core Collection. Co-authorship, co-citation, and co-occurrence analyses of countries, institutions, authors, references, and keywords within this field were conducted using a combination of tools, including CiteSpace V (version 6.2. R3), VOSviewer (version 1.6.18), SCImago, Microsoft Excel 2019, and R 4.2.3.

Results

A total of 512 papers matching the search terms and inclusion/exclusion criteria were published between 1991 and 2023. The United States leads in publications with 149, followed by India with 61. Germany holds eight positions among the top 10 institutions, while the United States has two. The most prevalent journals cited were Cancer, the European Journal of Cancer, and Sensors. The most frequently cited keywords include "skin cancer", "classification", "artificial intelligence", and "deep learning".

Conclusions

Research into the application of AI in skin cancer is rapidly expanding, and an increasing number of scholars are dedicating their efforts to this field. With the advancement of AI technology, new opportunities have arisen to enhance the accuracy of skin imaging diagnosis, treatment based on big data, and prognosis prediction. However, at present, the majority of AI research in the field of skin cancer diagnosis is still in the feasibility study stage. It has not yet made significant progress toward practical implementation in clinical settings. To make substantial strides in this field, there is a need to enhance collaboration between countries and institutions. Despite the potential benefits of AI in skin cancer research, numerous challenges remain to be addressed, including developing robust algorithms, resolving data quality issues, and enhancing results interpretability. Consequently, sustained efforts are essential to surmount these obstacles and facilitate the practical application of AI in skin cancer research.

Global trends and themes in genetic counseling research

This article seeks to highlight the most recent trends and themes in genetic counseling that are of broad interest. A total of 3505 documents were published between 1952 and 2021, with a trend toward increase in paper/year. The most common documents are original articles (2515, 71.8%), followed by review articles (341, 9.7%). Journal of Genetic Counseling publishes the highest number of genetic counseling articles (587, 16.7%), followed by Clinical Genetics (103, 2.9%) and the South American Journal of Medical Genetics (95, 2.7%). Co-occurrence analysis revealed five research themes: genetic testing, cancer, genetic counselor, prenatal diagnosis, and psychiatry. The genetic counselor theme contained most of the recent keywords, including "covid-19," "underrepresented population," "service delivery models," "workforce," "disparities," "service delivery," "professional development," "cultural competence," "access," "diversity," "telemedicine," and "health literacy." Genetic counseling researchers may use these keywords to find topics pertinent to their future research and practice.

Envisioning better forest transitions: A review of recent forest transition scholarship

Forest transition theory, as introduced by Alexander Mather, depicts forest recovery patterns often occurring in the wake of agricultural intensification and farmland abandonment. Since the forest transition theory was introduced, multiple pathways have been described in the scholarly literature to explain forest transition phases via varied socio-economic forces. This analysis of a set of 78 country-specific case studies published from 2019 to 2022 confirms social inequity in documented forest transitions; forest transition case studies from 2019 to 2022 were concentrated in highly developed countries. This review also substantiates the impact of agricultural land use changes in recent forest transitions. Four out of five case studies assessing pathways identified an economic development pathway for forest transitions. The effect of state interventions such as introducing incentives for reforestation in forest transitions reviewed was mixed; while almost one-third of forest transitions were attributed to state policies or laws, negative biodiversity impacts from forest plantations were documented. With respect to social justice, nearly a third of case studies included interviews with villagers or similar methodologies to capture social perceptions of forest transitions. Based on this review, governance and social equity forest transition benefits are critical issues for forest transition research.

Neuropragmatics: A scientometric review

Neuropragmatics investigates brain functions and neural activities responsible for pragmatic language abilities, often impaired in disorders such as hemisphere damage, autism, schizophrenia, and neurodegenerative disorders. This study examined the development of neuropragmatics and existing neuroimaging evidence using bibliometric and scientometric indicators, analyzing 4,247 documents published between 1967 and 2022 with CiteSpace and VOSviewer. Our cluster analysis revealed key themes. 1) Language comprehension loss due to brain injury: Studies exploring the impact of brain injuries on language comprehension and underlying neural mechanisms. 2) Right hemisphere damage and pragmatic language skills: Research focusing on the relationship between right hemisphere damage and pragmatic language abilities, investigating impairments in social language use and potential neural correlates. 3) Traumatic brain injury and social communication assessment: Research on traumatic brain injury effects on social communication skills, using various assessment tools to evaluate communication effectiveness in social situations. These clusters provide valuable insights into the neuropragmatics field and serve as a framework for future investigations. By building upon existing knowledge, researchers can improve our understanding of brain functions, language behavior, and enhance rehabilitation for individuals with pragmatic language impairments.

Literature review of digital twin in healthcare

This article aims to make a bibliometric literature review using systematic scientific mapping and content analysis of digital twins in healthcare to know the evolution, domain, keywords, content type, and kind and purpose of digital twin's implementation in healthcare, so a consolidation and future improvement of existing knowledge can be made and gaps for new studies can be identified. The increase in publications of digital twins in healthcare is quite recent and it is still concentrated in the domain of technology sources. The subject is majorly concentrated in patient's digital twin group and in precision medicine and aspects, issues and/or policies subgroups, although the publications keywords mirror it only at the group side. Digital twins in healthcare are probably stepping out of the infancy phase. On the other hand, digital twins in hospital group and the device and facilities management subgroups are more mature with all knowledge gathered from the manufacturing sector. There is an absence of some publication's types in general, device and care subgroup and no whole body or hospital digital twin was reported. Based on the presented arguments, guidelines for future research were presented: advance in the creation of general frameworks, in subgroups not as much explored, and in groups and subgroups already explored, but that need more advancement to achieve the main goals of a whole human or hospital digital twin with the main issues resolved.

A century of research on neuromodulation interventions: A scientometric analysis of trends and knowledge maps

Interest in neurostimulation interventions has significantly grown in recent decades, yet a scientometric analysis objectively mapping scientific knowledge and recent trends remains unpublished. Using relevant keywords, we conducted a search in the Web of Science Core Collection on September 23, 2022, retrieving a total of 47,681 documents with 987,979 references. We identified two prominent research trends: 'noninvasive brain stimulation' and 'invasive brain stimulation.' These methods have interconnected over time, forming a cluster focused on evidence synthesis. Noteworthy emerging research trends encompassed 'transcutaneous auricular vagus nerve stimulation,' 'DBS/epilepsy in the pediatric population,' 'spinal cord stimulation,' and 'brain-machine interface.' While progress has been made for various neurostimulation interventions, their approval as adjuvant treatments remains limited, and optimal stimulation parameters lack consensus. Enhancing communication between experts of both neurostimulation types and encouraging novel translational research could foster further development. These findings offer valuable insights for funding agencies and research groups, guiding future directions in the field.

A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems

Federated learning (FL) provides a distributed machine learning system that enables participants to train using local data to create a shared model by eliminating the requirement of data sharing. In healthcare systems, FL allows Medical Internet of Things (MIoT) devices and electronic health records (EHRs) to be trained locally without sending patients data to the central server. This allows healthcare decisions and diagnoses based on datasets from all participants, as well as streamlining other healthcare processes. In terms of user data privacy, this technology allows collaborative training without the need of sharing the local data with the central server. However, there are privacy challenges in FL arising from the fact that the model updates are shared between the client and the server which can be used for re-generating the client's data, breaching privacy requirements of applications in domains like healthcare. In this paper, we have conducted a review of the literature to analyse the existing privacy and security enhancement methods proposed for FL in healthcare systems. It has been identified that the research in the domain focuses on seven techniques: Differential Privacy, Homomorphic Encryption, Blockchain, Hierarchical Approaches, Peer to Peer Sharing, Intelligence on the Edge Device, and Mixed, Hybrid and Miscellaneous Approaches. The strengths, limitations, and trade-offs of each technique were discussed, and the possible future for these seven privacy enhancement techniques for healthcare FL systems was identified.

Essential oil encapsulation by electrospinning and electrospraying using food proteins: A review

Proteins are excellent polymeric materials for encapsulating essential oils (EOs) by electrospinning and electrospraying to protect these compounds and form nanomaterials with active properties. Proteins can encapsulate bioactive molecules by several mechanisms, including surface activity, absorption and stabilization mechanisms, amphiphilic nature, film-forming capacity, foaming, emulsification, and gelation, due to interactions among their functional groups. However, proteins have some limitations in encapsulating EOs by the electrohydrodynamic process. Their properties can be improved by using auxiliary polymers, increasing their charges by adding ionic salts or polyelectrolytes, denaturing their structure by heat, and exposure to specific pH conditions and ionic strength. This review addresses the main proteins used in electrospinning/electrospraying techniques, production methods, their interactions with EOs, bioactive properties, and applications in food matrices. Multivariate analysis associated with bibliometrics of metadata extracted from studies in Web of Science using the keywords electrospinning and essential oil (EO) were used as the search strategy.

Global Research Trends and Hotspots Analysis of the Scientific Production of Amitriptyline: A Bibliometric Approach

Amitriptyline was first introduced as a medication to treat depression. Over time, this substance has been used to treat other conditions, such as gastrointestinal disorders, fibromyalgia, neuropathic pain, and analgesia, among others. However, there are no published studies that provide a broad view of the possible motivations that have led to changes in the use of amitriptyline. In this study, we have identified the landscape of use for amitriptyline based on knowledge mapping of the 100 most-cited articles about this drug. We searched Web of Science Core Collection without time and language restrictions. We obtained 14,446 results, but we only used the 100 most-cited articles that had amitriptyline as the object of study. We collected the following information from each article: authors, country of the corresponding authors, year of publication, citation count, citation density (number of citations per year), and keywords. In addition, we seek to map in the chosen articles study design and research findings. We found that since 1980, the use of amitriptyline has expanded beyond depression, moving to off-label use to treat a variety of diseases and conditions, including post-herpetic neuralgia, neuropathic pain, primary fibrosis, fibromyalgia, and migraine, can be considered a drug with more clinical applicability than its original clinical indication.

Global trends and research hotspots on HACCP and modern quality management systems in the food industry

HACCP (Hazard Analysis and Critical Control Points) and modern quality management systems have a significant impact on public health in the food industry. These systems ensure that food products are safe for consumption by identifying and managing potential hazards at every stage of the production process. To stimulate ongoing studies in both developing and underexplored areas of inquiry, this research synthesizes and organizes the contributions made in this field. It examines more than 40 years of studies from Scopus data base on HACCP and modern quality management systems in the food industry using the VOSviewer software version 1.6.18 (Leiden University, The Netherlands) and bibliometrix R-package. This represents, to the authors' knowledge, the first bibliometric analysis undergone in this direction. The graphical framework demonstrates the highest developments in research and the literature review investigates barriers and opportunities of implementing HACCP in food industry organizations. Findings indicate that until the beginning of the 1990s, there was not a large number of scientific production in the field of HACCP and modern quality management systems in the food industry. The USA were the most prolific affiliation terms of scientific production until 2012, when studies from Italy, the United Kingdom, China and Greece intensified. Currently, the most prolific country in terms of publications is Italy. In terms of global cooperation, the United Kingdom, The United States and The Netherlands represent most active nations on this topic Motor themes that reflect the main interest of the researchers include food diseases, quality control, hazards or food supply. The study also provides future research directions regarding food quality and safety management. These should be focused on improving the safety, quality, and sustainability of food products, while also adapting to changing consumer demands, emerging risks, and regulatory requirements.