Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison

Evaluation of Research Productivity among Academic Vitreoretinal Surgeons Using the Relative Citation Ratio

PURPOSE

To provide relative citation ratio (RCR) benchmark data for the field of vitreoretinal surgery.

DESIGN

Cross-sectional bibliometric analysis.

SUBJECTS

Fellowship-trained vitreoretinal faculty at Accreditation Council for Graduate Medical Education-accredited institutions.

METHODS

Academic vitreoretinal surgeons were individually indexed using the National Institutes of Health iCite Website. Publication count, mean RCR score, and weighted RCR score were collected for each author between June and July 2022 and included PubMed-listed articles from 1980 to 2022. Data were compared by gender, career duration, academic rank, and acquisition of a Doctor of Philosophy (PhD).

MAIN OUTCOME MEASURES

Total number of publications, mean RCR value, and weighted RCR value.

RESULTS

Our sample consisted of 677 academic vitreoretinal surgeons from 113 institutions. These physicians produced highly impactful research with a median publication count of 30 (interquartile range [IQR], 11-82), median RCR of 1.78 (IQR, 1.09-3.00), and median weighted RCR of 59.83 (14.31-195.78). Academic rank and career duration were associated with increased publication count, mean RCR, and weighted RCR. Publication count and weighted RCR differed significantly by gender; however, no difference was observed with mean RCR.

CONCLUSIONS

Current academic vitreoretinal surgeons have high mean RCR values relative to the National Institutes of Health standard RCR value of 1. This benchmark data serves as a more accurate gauge of research impact within the vitreoretinal community and can be used to inform self, institutional, and departmental evaluations. Additionally, the mean RCR may provide an accurate metric for quantifying research productivity among historically underrepresented groups that are disadvantaged by time-dependent factors, such as number of publications.

FINANCIAL DISCLOSURE(S)

The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Voice assistants in private households: a conceptual framework for future research in an interdisciplinary field

The present study identifies, organizes, and structures the available scientific knowledge on the recent use and the prospects of Voice Assistants (VA) in private households. The systematic review of the 207 articles from the Computer, Social, and Business and Management research domains combines bibliometric with qualitative content analysis. The study contributes to earlier research by consolidating the as yet dispersed insights from scholarly research, and by conceptualizing linkages between research domains around common themes. We find that, despite advances in the technological development of VA, research largely lacks cross-fertilization between findings from the Social and Business and Management Sciences. This is needed for developing and monetizing meaningful VA use cases and solutions that match the needs of private households. Few articles show that future research is well-advised to make interdisciplinary efforts to create a common understanding from complementary findings-e.g., what necessary social, legal, functional, and technological extensions could integrate social, behavioral, and business aspects with technological development. We identify future VA-based business opportunities and propose integrated future research avenues for aligning the different disciplines' scholarly efforts.

Evaluation of the National Institutes of Health-Supported Relative Citation Ratio Among Fellowship-Trained American Orthopaedic Joint Reconstruction Surgery Faculty: A New Bibliometric Measure of Scientific Influence

BACKGROUND

The relative citation ratio (RCR), a novel National Institutes of Health-Supported measure of research productivity, allows for accurate interdisciplinary comparison of publication influence. This study evaluates the RCR of fellowship-trained adult reconstructive orthopaedic surgeons with the goal of analyzing potentially influential physician demographics.

METHODS

Adult Reconstruction Accreditation Council for Graduate Medical Education fellowship-trained faculty for orthopaedic residency programs were identified via departmental websites. The National Institutes of Health's iCite database was retrospectively reviewed for mean RCR, weighted RCR, and publication count by surgeon. Multivariate analyses were performed using the Wilcoxon rank-sum tests and analyses of variance testing to compare sex, career length, academic rank, and professional degrees in addition to an MD or DO. Significance was considered P < .05.

RESULTS

A total of 488 fellowship-trained adult reconstruction faculty from 144 programs were included in the analysis. Overall, the faculty recorded a median RCR of 1.65 (interquartile range: 1.01-2.28) and a median weighted RCR of 16.59 (interquartile range: 3.98-61.92). The weighted RCR and total number of publications were associated with academic rank and career longevity, while the mean RCR was associated with academic rank. The median RCR ranged from 1.12 to 1.87 for all subgroups.

CONCLUSION

Adult reconstruction faculty are exceptionally productive and generate highly impactful studies as evidenced by the high median RCR value relative to the National Institutes of Health standard value of 1.0. Our data have important implications in the assessment of grant outcomes, promotion, and continued evaluation of research influence within the hip and knee community.

Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review

Artificial intelligence and its subcategories of machine learning and deep learning are gaining increasing importance and attention in the context of sports research. This has also meant that the number of corresponding publications has become complex and unmanageably large in human terms. In the current state of the research field, there is a lack of bibliometric analysis, which would prove useful for obtaining insights into the large amounts of available literature. Therefore, the present work aims to identify important research issues, elucidate the conceptual structure of the research field, and unpack the evolutionary trends and the direction of hot topics regarding key themes in the research field of artificial intelligence in sports. Using the Scopus database, 1215 documents (reviews and articles) were selected. Bibliometric analysis was performed using VOSviewer and bibliometrix R package. The main findings are as follows: (a) the literature and research interest concerning AI and its subcategories is growing exponentially; (b) the top 20 most cited works comprise 32.52% of the total citations; (c) the top 10 journals are responsible for 28.64% of all published documents; (d) strong collaborative relationships are present, along with small, isolated collaboration networks of individual institutions; (e) the three most productive countries are China, the USA, and Germany; (f) different research themes can be characterized using author keywords with current trend topics, e.g., in the fields of biomechanics, injury prevention or prediction, new algorithms, and learning approaches. AI research activities in the fields of sports pedagogy, sports sociology, and sports economics seem to have played a subordinate role thus far. Overall, the findings of this study expand knowledge on the research situation as well as the development of research topics regarding the use of artificial intelligence in sports, and may guide researchers to identify currently relevant topics and gaps in the research.

20 years of workplace diversity research in hospitality and tourism: a bibliometric analysis

Purpose

This paper charts the development of diversity research in hospitality and tourism (H&T) as a field of study. The authors are interested in how diversity has been studied, where diversity scholarship has been published, who are the leading diversity scholars and whether the scholars work has been influential. In addition, the authors identified the institutions and countries that contribute significantly to diversity scholarship in H&T.

Design/methodology/approach

The authors draw from the Web of Science (WoS) Core Collection, Scopus and Australian Business Dean's Council (ABDC) Journal Quality List covering 109 journals to identify the relevant articles on workplace diversity in H&T. The authors conducted evaluative and relational bibliometric techniques to assess the prominence of diversity scholarship in the field.

Findings

Diversity research in H&T did not gain traction until 2005. Using Equality, Diversity and Inclusion: An International Journal as a benchmark, the authors found that diversity research in H&T closely tracked the diversity topics in general organization and management literature. However, H&T lagged in race and ethnic, as well as gender identity research. A majority of diversity research is published in leading (top-ranked) journals, signifying the value of diversity scholarship in H&T. Hospitality journals published the most articles, while tourism journals reported the highest impact. Scholars based in the USA, China and the United Kingdom (UK) contributed the most diversity articles, but one researcher, Osman M. Karatepe (Turkey), stood out as the most productive and influential diversity scholar in H&T.

Practical implications

The insights from this study aid H&T scholars in identifying trends and opportunities in diversity research, assessing the productivity and impact of various journals and databases, locating collaborative opportunities (through co-citations and highly productive and influential institutions and scholars) and benchmarking the scholars’ own work.

Originality/value

Given an absence of prior review and diversity research has only gained ground in the H&T literature since 2005, this bibliometric study offers a fossil record and documents the trajectory of diversity scholarship in H&T, identifies the scholars who are active in this area of research and highlights institutions and countries where diversity research is conducted.

Telesupervision in Psychotherapy: A Bibliometric and Systematic Review

(1) Background: This systematic review supported by a bibliometric analysis identified quantitative and qualitative empirical studies that allowed us to respond to the objective of identifying and discussing the scope and limitations of the clinical-psychotherapeutic supervision in virtual modality or telesupervision. (2) Methods: The articles were selected according to the Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the eligibility criteria proposed by the PICOS strategy (population, interventions, comparators, outcomes, and study design) based on 396 records of scientifically identified articles in the Journal Citation Report databases of the Web of Science. (3) Results: The literature review stages allowed the selection of three articles, which were added three others that were already included in a previous review, to enrich the analysis and discussion. The results of the present review highlighted aspects of nonverbal communication, alliance, comfort, preference, trust, and construction of professional identity, among others, both considering only the telesupervision format and comparing it with traditional face-to-face supervision. (4) Conclusions: The contributions that these results are providing to the understanding of the scope and limitations of the practice of telesupervision are discussed, also considering its interference in the construction of the professional identity of supervisors and supervisees.

The Impact of COVID-19 on the Sustainable Development Goals: Achievements and Expectations

The COVID-19 pandemic has had a significant impact on almost all the Sustainable Development Goals (SDGs), leaving no country unaffected. It has caused a shift in political agendas, but also in lines of research. At the same time, the world is trying to make the transition to a more sustainable economic model. The research objectives of this paper are to explore the impact of COVID-19 on the fulfilment of the SDGs with regard to the research of the scientific community, and to analyze the presence of the Circular Economy (CE) in the literature. To this end, this research applies bibliometric analysis and a systematic review of the literature, using VOSviewer for data visualization. Five clusters were detected and grouped according to the three dimensions of sustainability. The extent of the effects of the health, economic and social crisis resulting from the pandemic, in addition to the climate crisis, is still uncertain, but it seems clear that the main issues are inefficient waste management, supply chain issues, adaptation to online education and energy concerns. The CE has been part of the solution to this crisis, and it is seen as an ideal model to be promoted based on the opportunities detected.

Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions

The principal goal of this study is to analyze the evolution of sensor research and technologies from 1990 to 2020 to clarify outlook and future directions. This paper applies network analysis to a large dataset of publications concerning sensor research covering a 30-year period. Results show that the evolution of sensors is based on growing scientific interactions within networks, between different research fields that generate co-evolutionary pathways directed to develop general-purpose and/or specialized technologies, such as wireless sensors, biosensors, fiber-optic, and optical sensors, having manifold applications in industries. These results show new directions of sensor research that can drive R&D investments toward promising technological trajectories of sensors, exhibiting a high potential of growth to support scientific, technological, industrial, and socioeconomic development.

Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers

Performance evaluation is a broad discipline within computer science, combining deep technical work in experimentation, simulation, and modeling. The field’s subjects encompass all aspects of computer systems, including computer architecture, networking, energy efficiency, and machine learning. This wide methodological and topical focus can make it difficult to discern what attracts the community’s attention and how this attention evolves over time. As a first attempt to quantify and qualify this attention, using the proxy metric of paper citations, this study looks at the premier conference in the field, SIGMETRICS. We analyze citation frequencies at monthly intervals over a five-year period and examine possible associations with myriad other factors, such as time since publication, comparable conferences, peer review, self-citations, author demographics, and textual properties of the papers. We found that in several ways, SIGMETRICS is distinctive not only in its scope, but also in its citation phenomena: papers generally exhibit a strongly linear rate of citation growth over time, few if any uncited papers, a large gamut of topics of interest, and a possible disconnect between peer-review outcomes and eventual citations. The two most-cited papers in the dataset also exhibit larger author teams, higher than typical self-citations, and distinctive citation growth curves. These two papers, sharing some coauthors and a research focus, could either signal the area where SIGMETRICS had the most research impact, or they could represent outliers; their omission from the analysis reduces some of the otherwise distinctive observed metrics to nonsignificant levels.

COVID-19 impacts on mobility, environment, and health of active transportation users

Active transportation could be an effective way to promote healthy physical activity, especially during pandemics like COVID-19. A comprehensive evaluation of health outcomes derived from COVID-19 induced active transportation can assist multiple stakeholders in revisiting strategies and priorities for supporting active transportation during and beyond the pandemic. We performed a two-step reviewing process by combining a scoping review with a narrative review to summarize published literature addressing the influence of COVID-19 on mobility and the environment that can lead to various health pathways and health outcomes associated with active transportation. We summarized the COVID-19 induced changes in active transportation demand, built environment, air quality, and physical activity. The results demonstrated that, since the pandemic began, bike-sharing users dropped significantly while recreational bike trips and walking activities increased in some areas. Meanwhile, there have been favorable changes to the air quality and the built environment for active transportation users. We then discussed how these changes impact health outcomes during the pandemic and their implications for urban planning and policymaking. This review also suggests that walking and biking can make up for the reduced physical activities during the pandemic, helping people stay active and healthy.

Recent trends of green human resource management: Text mining and network analysis

Issues of the environmental crisis are being addressed by researchers, government, and organizations alike. GHRM is one such field that is receiving lots of research focus since it is targeted at greening the firms and making them eco-friendly. This research reviews 317 articles from the Scopus database published on green human resource management (GHRM) from 2008 to 2021. The study applies text mining, latent semantic analysis (LSA), and network analysis to explore the trends in the research field in GHRM and establish the relationship between the quantitative and qualitative literature of GHRM. The study has been carried out using KNIME and VOSviewer tools. As a result, the research identifies five recent research trends in GHRM using K-mean clustering. Future researchers can work upon these identified trends to solve environmental issues, make the environment eco-friendly, and motivate firms to implement GHRM in their practices.

Big data and infectious disease epidemiology: A bibliometric analysis and research agenda

BACKGROUND

Infectious diseases represent a major challenge for health systems worldwide. With the recent global pandemic of COVID-19, the need to research strategies to treat these health problems has become even more pressing. Although the literature on big data and data science in health has grown rapidly, few studies have synthesized these individual studies, and none has identified the utility of big data in infectious disease surveillance and modeling.

OBJECTIVE

This paper aims to synthesize research and identify hotspots of big data in infectious disease epidemiology.

METHODS

Bibliometric data from 3054 documents that satisfied the inclusion criteria were retrieved from the Web of Science database over 22 years (2000-2022) were analyzed and reviewed. The search retrieval occurred on October 17, 2022. Bibliometric analysis was performed to illustrate the relationships between research constituents, topics, and key terms in the retrieved documents.

RESULTS

The bibliometric analysis revealed internet searches and social media as the most utilized big data sources for infectious disease surveillance or modeling. It also placed the US and Chinese institutions as leaders in this research area. Disease monitoring and surveillance, utility of electronic health (or medical) records, methodology framework for infodemiology tools, and machine/deep learning were identified as the core research themes.

CONCLUSIONS

Proposals for future studies are made based on these findings. This study will provide healthcare informatics scholars with a comprehensive understanding of big data research in infectious disease epidemiology.

Biometrics Data Visualization of Ginsenosides in Anticancer Investigations

Ginsenoside extracts have been shown to have anticancer effects by a growing number of studies and have thus become a hot topic in cancer research. Our study used VOSviewer and CiteSpace softwares to conduct a bibliometric approach to co-citation and co-occurrence analysis of countries, institutions, authors, references, and keywords in the field of cancer research to investigate the current status and trends of ginsenosides research in cancer. The web of science core collection (WoSCC) contained a total of 1102 papers. China made the most contributions in this area, with the most publications (742, 67.3%), and collaborated closely with Korea and the USA. The Journal of Ginseng Research, with the most total citations (1607) and an IF of 6.06, is the leading journal in the field of ginsenoside and cancer research, publishing high quality articles. Saponin and its extracts inhibit oxidative stress, promote apoptosis, and inhibits chemotherapy resistance by ginsenosides, all of which are hot research areas in this field. In the coming years, it is expected that the combination of ginsenosides and nanoparticles, in-depth mechanisms of cancer inhibition, and targeted therapy will receive widespread attention.

The relative citation ratio (RCR) as a novel bibliometric among 2511 academic orthopedic surgeons

Objectively measuring research output is important for grant awards, promotion, and tenure, or self-evaluation of productivity. However, certain shortcomings limit common bibliometric indicators. The time- and field-independent relative citation ratio (RCR) was proposed to overcome these limitations. The objective of this study was to determine whether the RCR correlates with academic rank, gender, and PhD degree status among US academic orthopedic surgeons. Full-time faculty surgeons at Accreditation Council for Graduate Medical Education-accredited orthopedic surgery residency programs were included in this study. Mean (mRCR) and weighted (wRCR) RCR scores were collected from the National Institutes of Health iCite database to quantify scholarly "impact" and "production," respectively, and were compared by academic rank, gender, and PhD status. All information was collected from publicly available faculty listings on departmental websites. A total of 2511 orthopedic surgeons from 132 residency programs were assessed. Overall, the median (interquartile range) mRCR score was 1.56 (1.05-2.12) and the median wRCR score was 27.6 (6.97-88.44). Both metrics increased with each successive academic rank, except for department chairs. There was no difference in mRCR between male and female surgeons. Among assistant professors, males had higher wRCR scores. Both metrics were higher among surgeons with a PhD degree. The RCR offers key advantages over other indices, which are reflected in differences in score distributions compared with the widely used h-index. Nevertheless, implementation of the RCR should be preceded with careful consideration of its own limitations.

The Bibliometric Analysis of Studies on Physical Literacy for a Healthy Life

This article empirically provides a global overview of physical literacy, which allows for the understanding of the structure of the epistemic community studying literacy for healthy living. Publications registered in the Web of Science are analyzed using bibliometrics (spatial, productive, and relational) based on data from 391 records, published between 2007 and April 2022, applying five bibliometric laws and using VOSviewer software for data and metadata processing and visualization. In terms of results, we observe an exponential increase in scientific production in the last decade, with a concentration of scientific discussion on physical literacy in seven journals; a production distributed in 46 countries situated on the five continents, but concentrated in Canada and the United States; co-authored research networks composed of 1256 researchers but with a production concentrated of around 2% of these, and an even smaller number of authors with high production and high impact. Finally, there are four thematic blocks that, although interacting, constitute three specific knowledge production communities that have been delineated over time in relation to health and quality of life, fitness and physical competence, education, and fundamental movement skills.

Current global research landscape on COVID-19 and cancer: Bibliometric and visualization analysis

BACKGROUND

Cancer is a severe public health issue that seriously jeopardizes global health. In individuals with coronavirus disease 2019 (COVID-19), cancer is considered an independent risk factor for severe illness and increased mortality.

AIM

To identify research hotspots and prospects, we used bibliometrics to examine the global production of COVID-19 literature published in the field of oncology.

METHODS

Data on publication output were identified based on the Scopus database between January 1, 2020, and June 21, 2022. This study used VOSviewer to analyze collaboration networks among countries and assess the terms most often used in the titles and abstracts of retrieved publications to determine research hotspots linked to cancer and COVID-19. The Impact Index Per Article for the top 10 high-cited papers collected from Reference Citation Analysis (RCA) are presented.

RESULTS

A total of 7015 publications were retrieved from the database. The United States published the greatest number of articles (2025; 28.87%), followed by Italy (964; 13.74%), the United Kingdom (839; 11.96%), and China (538; 7.67%). The University of Texas MD Anderson Cancer Center (n = 205, 2.92%) ranked first, followed by the Memorial Sloan-Kettering Cancer Center (n = 176, 2.51%). The European Journal of Cancer (n = 106, 1.51%) ranked first, followed by the Frontiers in Oncology (n = 104, 1.48%), Cancers (n = 102, 1.45%), and Pediatric Blood and Cancer (n = 95; 1.35%). The hot topics were stratified into "cancer care management during the COVID-19 pandemic"; and "COVID-19 vaccines in cancer patients".

CONCLUSION

This is the first bibliometric analysis to determine the present state and upcoming hot themes related to cancer and COVID-19 and vice versa using VOSviewer during the early stages of the pandemic. The emergence of hot themes related to cancer and COVID-19 may aid researchers in identifying new research areas in this field.

Past, present, and future perspectives of biodegradable films for soil: A 30-year systematic review

Based on the Web of Science Core Collection (WOSCC) database, the academic works published in the past 30 years on biodegradable films for soil were analyzed. In order to ensure the rigor of this experiment, this paper is based on the mathematical double matrix model VOS Viewer software and CiteSpace software. This work shows that publications of biodegradable films for soil are increasing year by year; polymer science is the hottest subject in the field of biodegradable films for soil; China and the United States are the countries with the most significant number of publications in this field, has an important position; Washington State University is the most published institution. This study further identifies and reveals the essential characteristics, research strength, knowledge structure, main research fields, and research hotspots in the late stage of the field of biodegradable films for soil and introduces the Activity Index (AI) and the Attractive Index (AAI), thereby assessing trends and performance in different countries. The paper also further illustrates the importance of biodegradable films by presenting field trials using biodegradable films on different plants. The research in the field of biodegradable films for soil is divided into four categories: “The research field of degradation,” “The effect of biodegradable film on soil,” “Performance and mechanism of the biodegradable film,” and “Effects of biodegradable film on crop growth and development.”. The study can be seen as a microcosm of the development of biodegradable films for soils, which will help researchers quickly identify their general patterns. Readers can better understand the changes and development trends in this field in the past 30 years and provide references for future research.

Sixteen Years since the Convention on the Rights of Persons with Disabilities: What Have We Learned since Then?

Persons with disabilities have historically been subjected to discrimination and exclusion, placing them in dangerous situations of social vulnerability. The Convention on the Rights of Persons with Disabilities, passed on the 13th of December 2006, was an important legislative landmark for valuing the rights of this population group. This study involved a bibliometric analysis of 1024 research articles published in Scopus on the social, workplace, educational, and financial inclusion of persons with disabilities since the Convention. The results show an increase in scientific production, and there is also a great deal of multi-disciplinarity, which has led to important breakthroughs for the all-encompassing inclusion of this section of the population. The most productive journals, authors, institutions, and countries, as well as the international cooperation networks, are presented here. The review concludes by setting out the main themes and trends in the research.

Bibliometric analysis of finance and natural resources: past trend, current development, and future prospects

The finance and natural resources revenue nexus play a critical role in an economy. The recent development and significant increase in academic literature regarding the resource-finance nexus are the primary motivations for conducting this study. This study aims to conduct a bibliometric analysis of 363 documents published between 1976 and 2021 collected from the Scopus database. The results have been demonstrated via graphs, tables, knowledge maps about the past trends, growth, and prospects using co-occurrence, co-authorship, and co-citation analysis via the VOSviewer tool. This study has identified prolific authors, journals, countries, academic institutions, and future pathways. The findings indicate that China has the highest share of publications (88, 24.2%), followed by Pakistan (58, 15.9%) and Turkey (37, 10.2%). The most productive academic institution is the Beijing Institute of Technology in China (13, 3.6%). This study proposes new avenues for further research concerning the resource-finance nexus, such as ecological footprint, sustainability, fiscal decentralization, green investment, energy prices, environmental quality, technological innovation, financial resource curse (especially the stock market resource curse), human capital, and renewable energy in policy development and sustainability towards the achievement of the SDGs.

Bibliometric Analysis of Studies on Whole Body Electromyostimulation

Simple Summary

This work consists of a review with bibliometric analysis on WB-EMS. One hundred and two articles were analyzed in the period from 2010 to 2022 to find out which country, author and institutions produce the most knowledge on this topic. The results of this work are important to know to determine publication growth trend as well as the most relevant clusters and authors.

Abstract

Whole Body Electromyostimulation [WB-EMS] is a training methodology that applies electrostimulation in the main muscle groups of the human body superimposed with active training exercises. This study aims to carry out a bibliometric analysis on WB-EMS to provide an overview of the state of research and provide new insights for research in the field. Method: One hundred and two citations extracted were examined using a bibliometric approach based on data stored in the Web of Science Core Collection, applying traditional bibliometric laws, and using VOSviewer and excel for data and metadata processing. Results: Among the results, this study points out that Germany is the country that produces more scientific knowledge on WB-EMS. Wolfgang Kemmler is the most relevant author in this field. Moreover, Frontier of Physiology is the journal where the authors publish the most. Conclusion: Research on WB-EMS has been growing in recent years. German and Spanish researchers lead two clusters where most studies and collaborations in this field are carried out. These findings will provide a better understanding of the state of WB-EMS research and may guide the emergence of new lines of investigation and research ideas.

Mapping knowledge structure and themes trends of biodegradable Mg-based alloy for orthopedic application: A comprehensive bibliometric analysis

Background: Since Lambotte and Payr first studied Mg-based alloys for orthopedics in 1900, the research of this field has finally ushered in vigorous development in the 21st century. From the perspective of quantitative analysis, this paper clearly demonstrated the global research trend from 2005 to 2021 by using bibliometrics and scientometric analysis.

Methods: We obtained the publications from the Web of Science Core Collection (WoSCC) database. The bibliometric and scientometric analysis was conducted by using R software, CiteSpace software, VOSviewer software, Pajek software and Microsoft Excel program.

Results: In total, 1921 publications were retrieved. It can be found that the number of publications is gradually increasing year by year. We can find that the most prolific countrie, institution and researcher are China, Chinese Academy of Sciences and Zheng Yufeng, respectively. The most influential journals in this field are Acta Biomaterialia and Biomaterials, with 16,511 and 12,314 total citations, respectively. By conducting the co-cited documents-based clustering analysis, 16 research hotspots and their representative studies have been identified. Besides, by conducting analysis of keywords, we divided the keyword citation bursts representing the development of the field into three stages.

Conclusion: The number of researches on the biodegradable Mg-based alloys increased sharply all over the world in the 21st century. China has made significant progress in biodegradable Mg-based alloy research. More focus will be placed on osteogenic differentiation, fabrication, graphene oxide, antibacterial property, bioactive glass and nanocomposite, which may be the next popular topics in the field.

Methodological considerations in the open-plan office paradox: A systematic literature review

BACKGROUND: Several recent reports conclude that open-plan offices negatively impact workers across a variety of outcome measures. This contrasts to a corporate trend to move from cellular to open-plan layouts, often justified by the same outcomes. Two explanations for this paradox are proposed: (1) the results are more complicated than critical reports suggest, and (2) methodological biases make open-plan layouts look more negative than they are. OBJECTIVE: To evaluate the proposed explanations using a systematic literature review. METHODS: Google Scholar was used to find original research on the relationship between office openness and worker outcomes. 89 articles were coded for the variables and methods they used, and conclusions about the relationship between layout and outcomes were evaluated. RESULTS: The proposed explanations were partly supported. The relationship between layout openness and worker outcomes depends on the variables considered and the methods used, and a small subset of methods was used far more often than others. That said, more research is needed to evaluate impact of open-plan offices on worker outcomes. CONCLUSIONS: The relationship between office openness and worker outcomes varies widely depending on how it is measured. Several promising areas for future research may help clarify this relationship.

Sustainability Accounting Studies: A Metasynthesis

This review article seeks to discuss the sustainability accounting concept by examining previously conducted studies on this topic in order to understand its thematic progress in the academic literature. This study is a metasynthesis, where, in the identification phase, 334 documents published in the Web of Science (WoS) database are selected, and in the literature review stages, 15 re-reviews are selected according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) method. The results reveal that businesses, academia, and regulatory bodies do not recognize a homogeneous terminology when it comes to sustainability accounting. There is a variety of synonyms that complicate the disclosure of activities carried out by companies in the pursuit of the sustainability development goals (SDGs), with SDGs 5, 6, 13, 14, and 15 being analyzed in the academic literature in relation to the sustainability accounting concept. For future research directions, the review articles analyzed suggest examining the concrete effects produced by practices related to sustainability performance in companies, linking the relevance of understanding the sustainability reports related to the sustainability performance of companies.

A Scientometric Analysis and Visualization of Global LEED Research

With the promotion of the concept of sustainable development and green buildings, green building rating systems are beginning to emerge and gradually attract more attention. Leadership in Energy and Environmental Design (LEED) is a widely used and influential rating system worldwide, and research on it has shown an increasing trend year by year. To establish a comprehensive understanding of the LEED research field, this article visualizes and analyzes the LEED research literature by CiteSpace to obtain journal, author, institution, and country collaboration networks, reference co-citations and clusters, keyword co-occurrence networks and citation bursts. The study found the relationships among journals, authors, institutions, countries, research frontiers, research hotspots, and research processes in the field of LEED research. A framework of the knowledge system of LEED research was constructed based on these findings to present the current status and future trends and provide a reference for future research.

The Author-Level Metrics Study: An Analysis of the Traditional and Alternative Metrics of Scholarly Impact for Neurosurgical Authors

Background and objective

There is a paucity of information regarding the concordance of traditional metrics across publicly searchable databases and about the correlation between alternative and traditional metrics for neurosurgical authors. In this study, we aimed to assess the congruence between traditional metrics reported across Google Scholar (GS), Scopus (Sc), and ResearchGate (RG). We also aimed to establish the mathematical correlation between traditional metrics and alternative metrics provided by ResearchGate.

Methods

Author names listed on papers published in the Journal of Neurosurgery (JNS) in 2019 were collated. Traditional metrics [number of publications (NP), number of citations (NC), and author H-indices (AHi)] and alternative metrics (RG score, Research Interest score, etc. from RG and the GS i10-index) were also collected from publicly searchable author profiles. The concordance between the traditional metrics across the three databases was assessed using the intraclass correlation coefficient and Bland-Altman (BA) plots. The mathematical relation between the traditional and alternative metrics was analyzed.

Results

The AHi showed excellent agreement across the three databases studied. The level of agreement for NP and NC was good at lower median counts. At higher median counts, we found an increase in disagreement, especially for NP. The RG score, number of followers on RG, and Research Interest score independently predicted NC and AHi with a reasonable degree of accuracy.

Conclusions

A composite author-level matrix with AHi, RG score, Research Interest score, and the number of RG followers could be used to generate an "Impact Matrix" to describe the scholarly and real-world impact of a clinician’s work.

Towards Resolving Challenges Associated with Climate Change Modelling in Africa

Climate change is a significant concern impacting food security, agricultural reform, disease transmission, and disruption to human, plant, and animal ecosystems, along with a host of additional consequences, ultimately affecting the quality of life and the livelihoods of the global population. African-based research aims to better understand the impact of climate change on nature and on different aspects of humanity, as well as improve forecasting for greater economic potential. However, researchers often encounter various challenges and obstacles. Here, we conducted a bibliographic analysis and interpretation of relevant climate change peer-reviewed research articles related to the African continent. From this analysis, challenges associated with climate change modelling in Africa were identified. Primarily, the lack of an extensive observational network and technological limitations hinder modelling efforts. Additionally, an apparent pull of scientists away from African institutions to institutions further afield was observed. Novel solutions to these challenges are proffered. Finally, we highlight how the German Deutscher Akademischer Austauschdienst (DAAD) Climate Research for Alumni and Postdocs in Africa (climapAfrica) program is contributing towards resolving these challenges.

Google Scholar or University Digital Libraries: A comparison of student perceptions and intention to use

Google Scholar has become an important search platform for students in higher education, and, as such, can be regarded as a competitor to university libraries. Previous research has explored students’ intention to use Google Scholar (GS) and University Digital Libraries (UDLs), but there is a lack of comparative studies that explore students’ preferences between these two platforms. Therefore, this study seeks to explore the search behaviour of a select group of users, international postgraduate students and more specifically compares the factors that influence their use of Google Scholar and University Digital Libraries (UDLs). A questionnaire-based survey, based on the factors in the UTAUT model (unified theory of acceptance and use of technology) was conducted to collect data on acceptance and use of technology of GS and UDL’s respectively. Data was collected from 400 international postgraduate students studying in the United Kingdom. Confirmatory factor analysis was used to establish the contextual influencing factors, whilst structural equation modelling examined the predicted model. The results suggest some differences between the influence of various factors between the UDL dataset and the GS datasets. They suggest that social influence (SI) did not affect behavioural intention (BI) for either data set, but that for the UDL dataset, effort expectancy did not affect BI, whereas for the GS dataset facilitating conditions did not influence BI. The approach taken in this study further facilitates research into the use of search tools to progress beyond ease of use as a main driver and to explore the relationship between internal and external influences of use. Recommendations for further research are suggested and the value of the insights gained for UDLs and their provision and support for all students is discussed.

Global Trends in Natural Biopolymers in the 21st Century: A Scientometric Review

Since the 21st century, natural biopolymers have played an indispensable role in long-term global development strategies, and their research has shown a positive growth trend. However, these substantive scientific results are not conducive to our quick grasp of hotspots and insight into future directions and to understanding which local changes have occurred and which trend areas deserve more attention. Therefore, this study provides a new data-driven bibliometric analysis strategy and framework for mining the core content of massive bibliographic data, based on mathematical models VOS Viewer and CiteSpace software, aiming to understand the research prospects and opportunities of natural biopolymers. The United States is reported to be the most important contributor to research in this field, with numerous publications and active institutions; polymer science is the most popular subject category, but the further emphasis should be placed on interdisciplinary teamwork; mainstream research in this field is divided into five clusters of knowledge structures; since the explosion in the number of articles in 2018, researchers are mainly engaged in three fields: “medical field,” “biochemistry field,” and “food science fields.” Through an in-depth analysis of natural biopolymer research, this article provides a better understanding of trends emerging in the field over the past 22 years and can also serve as a reference for future research.

Setbacks, interruptions and turnarounds in the internationalization process: a bibliometric and literature review of de-internationalization

The paper presents a comprehensive review of research on de-internationalization, encompassing the themes of export withdrawal, subsidiary divestment, and backshoring or reshoring. A bibliometric technique (co-word analysis) on keywords from articles and book chapters published from 1980 to 2020 was initially used to confirm the main strands related to de-internationalization. Then, the study employed a bibliometric coupling analysis to identify the recent trends within each theme. The literature was divided into three clusters, which, using different but related terms, addressed the same phenomenon of firms’ decrease in foreign commitment. The ramifications of research on de-internationalization were examined for each of the clusters, mapping the issues deserving of further investigation and making recommendations for future research. The study uses an unprecedented method for understanding the de-internationalization phenomenon more broadly, delimiting its conceptual boundaries and mapping the different manifestations within a single theoretical domain.

The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities

Citation indexes are by now part of the research infrastructure in use by most scientists: a necessary tool in order to cope with the increasing amounts of scientific literature being published. Commercial citation indexes are designed for the sciences and have uneven coverage and unsatisfactory characteristics for humanities scholars, while no comprehensive citation index is published by a public organisation. We argue that an open citation index for the humanities is desirable, for four reasons: it would greatly improve and accelerate the retrieval of sources, it would offer a way to interlink collections across repositories (such as archives and libraries), it would foster the adoption of metadata standards and best practices by all stakeholders (including publishers) and it would contribute research data to fields such as bibliometrics and science studies. We also suggest that the citation index should be informed by a set of requirements relevant to the humanities. We discuss four such requirements: source coverage must be comprehensive, including books and citations to primary sources; there needs to be chronological depth, as scholarship in the humanities remains relevant over time; the index should be collection driven, leveraging the accumulated thematic collections of specialised research libraries; and it should be rich in context in order to allow for the qualification of each citation, for example, by providing citation excerpts. We detail the fit-for-purpose research infrastructure which can make the Humanities Citation Index a reality. Ultimately, we argue that a citation index for the humanities can be created by humanists, via a collaborative, distributed and open effort.

Research in Electronic and Mobile Payment Systems: A Bibliometric Analysis

Electronic (mobile) payment systems are an important aspect of e-commerce. However, few reviews highlight the most significant findings and challenges. In this article, we have prepared a bibliometric analysis to provide a statistical overview of previously published research papers on electronic (mobile) payment systems and user preferences, with a particular emphasis on their diverse techniques and analyses, as well as comprehensive and reliable directions to reveal evolutionary nuances and highlighting emerging areas in this specific research. This study reviewed 177 scientific papers published between 2001 and November 2021 in the Web of Science (WoS) database on the subjects of electronic payment systems (EPS) and mobile payment systems (MPS), payment interface (PI), technology acceptance model (TAM), payment frameworks (PF), and user preferences (UP). The amount of studies using the abovementioned topics (EPS, MPS, TAM, PF, and UP) increases annually. Spain, China, and Malaysia are the three main countries that actively participate, and their international academic partnership is relatively close. We have compiled a list of the most relevant publications, prolific authors, institutions, and leading research topics. The articles were used to evaluate bibliometric indicators, analyze research activity, investigate the subject’s evolution, and identify the most interconnected themes. The findings provide a comprehensive overview of existing thematic studies, with a notable rising trend showing the potential for future research in the field. The study provides a guideline for further research.

Influence of publication on university ranking: Citation, collaboration, and level of interdisciplinary research

The rank of a university has been widely perceived as a reputation measure that is often determined based on the comprehensive overview of various factors. Among the factors, publication is imperative and carries a significant weight in almost every university ranking system around the globe. To reveal how publication may influence university ranking, we investigated the 2020 US News Best Global Universities Ranking results and analyzed different publication related criteria, including discipline coverage, publication productivity, research impact, level of interdisciplinary research, and degree of research collaboration. Shannon index and Field-Weighted Citation Impact (FWCI) index were calculated to compare universities at four levels (i.e. top50, top100, top200, and top500). Results showed that the top50 universities cover nearly all majority disciplines, at least half of which rank among the global top 10%. Top50 universities are also featured with high publication numbers, high-impact factors, and broad network for international collaboration. The top200 universities showed a relatively longer history of carrying out high level of interdisciplinary research compared to the universities belonged to the remaining category in which interdisciplinary research was mostly started less than a decade. More than two-thirds of surveyed universities with Shannon index above 2.5 and Field-Weighted Citation Impact (FWCI) above 1.5 shows that interdisciplinary research promotes the quality of publication. Universities small in size and focused on specific academic themes can earn top ranking spots based on their extraordinary academic performance, but the current ranking method results in more favor of the large comprehensive universities. In seeking for higher-ranking within the top200 category, in addition to expanding in campus size, increasing the number of academic programs, and encouraging more publications, university decision makers should value the efforts to develop leading academic disciplines, enable broad international collaborations, and promote new interdisciplinary programs.

Developing Countries in the Lead: A Bibliometric Approach to Green Finance

In recent years, green finance has become a popular method for dealing with environmental issues. However, it remains to be seen whether green financing is effective in addressing current global environmental issues. In this article, we, therefore, analyze the diffusion patterns of green finance publications in the Global South and Global North to identify which section of the globe is under-researched from this perspective. The study tried to highlight the overall trends of research publications on green finance, continent, most contributing authors, countries, and journals. The study used a bibliometric approach with the help of R studio software. The Scopus database was used for extracting the resources and 522 documents utilized in this bibliometric analysis. The result demonstrates that the diffusion of green finance is more common in the Global North than in the Global South. However, the number of scientific studies produced over time, the number of active authors, and affiliations of the Global South have contributed more than the Global North. More specifically, at the continental level, Asia and the Pacific are playing a lion’s share in providing scientific research publications on the green-finance-related issue. Meanwhile, the Arab states and Africa are the lowest contributing continent. China has the highest number of publications worldwide. However, this reality may be different if another approach (per capita contribution) is used to investigate the issue of green finance. Hence, we call for future studies to consider this fact in investigating the issue of green finance across the world. Furthermore, the study proposes further studies to be conducted on what are the factors that drive the Global South to lead. Finally, it is also better if the future studies take into account the status of each country in terms of green finance mobilization and capital contribution to share the specific experience of that country and lessons taken from that country.

Defining discovery: Is Google Scholar a discovery platform? An essay on the need for a new approach to scholarly discovery

This essay discusses the concept of discovery, intended as content discovery, and defines it in the new context of Open Science, with a focus on Social Sciences and Humanities (SSH). Starting from the example of Google Scholar, the authors show that this well established service does not address the current needs, practices, and variety of discovery. Alternatives in terms of technical choices, features, and governance, do however exist, offering richer and more open discovery. The paper presents in particular the implementations and research work of the H2020 project TRIPLE (Transforming Research through Innovative Practices for Linked Interdisciplinary Exploration). Dedicated to the building of a discovery platform for the SSH, the project is meant to address the specificities and evolution of discovery in this field.  Prevailing scholarly resource platforms like Google Scholar limit discovery by focussing only on publications, and favouring through their algorithm well-cited papers, English content, and discipline-specific resources. A limitation in the context of cross-disciplinary and collaborative Open Science, such a service more specifically hinders discovery in the SSH. Characterized by a fragmented landscape, a variety of languages, data types, and outputs, research in the SSH requires services that fully exploit discovery potentialities.  Moreover, a survey conducted within the TRIPLE project showed that most SSH researchers use Google Scholar as their starting point, and that they recognise the lack of control they have with this system. Beyond the extension of features and content, transparency is the other important criterion for the building of an Open Infrastructure actually serving the research community. In light of this, we present in some detail the GoTriple platform, which exploits today's technological potential and incorporates the best known functionalities in order to unveil more and innovative scholarly outputs and lead to international and interdisciplinary research project collaborations.

Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review

The rational allocation of spatial resources is an important factor to ensure the sustainable development of rural areas, and effective pre-emptive spatial evaluation is the prerequisite for identifying the predicament of rural resource allocation. Multi-criteria decision-making analysis has advantages in solving multi-attribute and multi-objective decision-making problems, and has been used in sustainability evaluation research in various disciplines in recent years. Previous studies have proved the value of spatial evaluation using multi-criteria decision analysis in guiding rural incremental development and inventory updates, but systematic reviews of the previous literature from a multidisciplinary perspective and studies of the implementation steps of the evaluation framework are lacking. In the current paper, the research is reviewed from the two levels of quantitative statistics and research content, and through vertical and horizontal comparisons based on three common operating procedures: standard formulation, weight distribution, and ranking and verification. Through the results, the application status and characteristics of the MCDA method in related research are determined, and five research foci in the future are proposed.

State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling

Although there are several articles that have carried out a systematic literature review of the analytical hierarchy process (AHP), many of them work with a limited number of analyzed documents. This article presents a computer-aided systematic literature review of articles related to AHP. The objectives are: (i) to identify AHP usage and research impact in different subject areas; (ii) to identify trends in the popularity of the AHP from the first introduction of the method in 1980 to the present; (iii) to identify the most common topics related to AHP and topic development over time. We process 35,430 documents related to AHP, published between 1980 and 2021, retrieved from the Scopus database. We provide detailed statistics about research interest, research impact in particular subject areas over the analyzed time period. We use Latent Dirichlet Allocation (LDA) using Gibbs sampling to perform topic modeling based on the corpus of abstracts. We identify nine topics related to AHP: Ecology & Ecosystems; Multi-criteria decision-making; Production and performance management; Sustainable development; Computer network, optimization and algorithms; Service quality; Fuzzy logic; Systematic evaluation; Risk assessment. We also present the individual topics trends over time and point out the possible future direction of AHP.

Types of Errors Hiding in Google Scholar Data

Google Scholar (GS) is a free tool that may be used by researchers to analyze citations; find appropriate literature; or evaluate the quality of an author or a contender for tenure, promotion, a faculty position, funding, or research grants. GS has become a major bibliographic and citation database. For assessing the literature, databases, such as PubMed, PsycINFO, Scopus, and Web of Science, can be used in place of GS because they are more reliable. The aim of this study was to examine the accuracy of citation data collected from GS and provide a comprehensive description of the errors and miscounts identified. For this purpose, 281 documents that cited 2 specific works were retrieved via Publish or Perish software (PoP) and were examined. This work studied the false-positive issue inherent in the analysis of neuroimaging data. The results revealed an unprecedented error rate, with 279 of 281 (99.3%) examined references containing at least one error. Nonacademic documents tended to contain more errors than academic publications (U=5117.0; P<.001). This viewpoint article, based on a case study examining GS data accuracy, shows that GS data not only fail to be accurate but also potentially expose researchers, who would use these data without verification, to substantial biases in their analyses and results. Further work must be conducted to assess the consequences of using GS data extracted by PoP.

Evaluation of the Relative Citation Ratio Among Academic Orthopedic Hand Surgeons: A Novel Measure of Research Impact

Background: Publication metrics such as article citation count and the Hirsch index (h-index) are used to evaluate research productivity among academic faculty. However, these bibliometric indices are not field-normalized and yield inaccurate cross-specialty comparisons. We evaluate the use of the relative citation ratio (RCR), a new field-normalized article-level metric developed by the National Institutes of Health (NIH), among academic orthopedic hand surgeons and analyze physician factors associated with RCR values.

Methods: A retrospective analysis was performed using the iCite database. Fellowship-trained orthopedic hand surgeons affiliated with accredited orthopedic surgery residency programs were included. Mean RCR, weighted RCR, and publication count were compared by sex, career duration, academic rank, and presence of additional degrees. Mean RCR represents the total number of citations per year of a publication divided by the average number of citations per year received by NIH-funded papers in the same field. Mean RCR serves as a measure of overall research impact. A value of 1.0 is the NIH-funded field-normalized standard. Weighted RCR is the sum of all article-level RCR scores and represents overall research productivity.

Results: A total of 620 academic orthopedic hand surgeons from 164 programs were included. These physicians produced highly impactful research with a median RCR of 1.27 (interquartile range [IQR] 0.86-1.66). Weighted RCR was associated with advanced degree, advanced academic rank, and longer career duration.

Conclusions: Fellowship-trained academic orthopedic hand surgeons produce highly impactful research. Our benchmark data can be used to assess grant outcomes, promotion, and continued evaluation of research productivity within the hand surgery community.

Global Trends in the Research on Early Childhood Education during the COVID-19 Pandemic: A Bibliometric Analysis

During the COVID-19 pandemic, schools and preschools worldwide have been suspended, causing many challenges for students, parents, and teachers. Through home-schooling, preschool children struggle to accept new (online) learning modes. Teachers need to acquire digital skills quickly to deliver online teaching, while parents need to take on the role of a tutor at home to facilitate their children’s learning. This study aims to gauge the global trends in the research on early childhood education (ECE) during the COVID-19 pandemic, particularly considering the need for a swift response to the impact of the pandemic. We employed the bibliometric approach to studying ECE studies during the pandemic by identifying the countries of most-cited publications, most-cited categories of studies, and research methodologies used in the eligible studies (N = 507). Analysis reveals that technology integration in ECE has grown fast to timely facilitate online teaching and resolve varied challenges such as parental stress, a lack of resources, and the quality of education in this field. Based on the bibliometric approach, we highlighted research focusing on key themes such as online learning and teaching, physical activity, stress and mental health, and families in early childhood. This study offers a global perspective on ECE research during the pandemic and provides researchers, policymakers, and practitioners with future directions.

Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases

This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The method extends existing sampling-based approaches that analyze smaller sets of database coverages. The findings show the relative and absolute subject coverages of 56 databases-information that has often not been available before. Knowing the databases' absolute subject coverage allows the selection of the most comprehensive databases for searches requiring high recall/sensitivity, particularly relevant in lookup or exploratory searches. Knowing the databases' relative subject coverage allows the selection of specialized databases for searches requiring high precision/specificity, particularly relevant in systematic searches. The findings illustrate not only differences in the disciplinary coverage of Google Scholar, Scopus, or Web of Science, but also of less frequently analyzed databases. For example, researchers might be surprised how Meta (discontinued), Embase, or Europe PMC are found to cover more records than PubMed in Medicine and other health subjects. These findings should encourage researchers to re-evaluate their go-to databases, also against newly introduced options. Searching with more comprehensive databases can improve finding, particularly when selecting the most fitting databases needs particular thought, such as in systematic reviews and meta-analyses. This comparison can also help librarians and other information experts re-evaluate expensive database procurement strategies. Researchers without institutional access learn which open databases are likely most comprehensive in their disciplines.

Responsible Carbon Resource Management through Input-Oriented Cap and Trade (IOCT)

Fossil fuels store primary carbon. When they are combusted, CO2 is released into the atmosphere. The accumulation of CO2 in the atmosphere causes the anthropogenic greenhouse gas effect, which has led to the existing climate crisis. Academic literature, international climate deliberations and most domestic climate mitigation plans have so far focused primarily on reducing emissions (output orientation) and have paid little attention to supply-side climate policies. Thus, this study shows that output-oriented literature is heavily overweighted with over 7000 publications compared to input-oriented literature with just 107 publications (equivalent to 1.5% percent). The overall scope of this review article was therefore to identify the gaps of output-oriented mechanisms such as the European Union Emissions Trading Scheme (EU ETS), and to point out how an Input-Oriented Cap and Trade (IOCT) system might overcome those gaps. IOCT refers to limits to the carbon input into the global fossil fuel trading system instead of limiting only the emissions caused by already burned fuel. For this purpose, a global cap on the extraction of coal, gas and oil must firstly be defined. Accordingly, IOCT provides for the allocation of allowances for the extraction, processing and trading of carbon-based products. IOCT is a source-oriented approach that refers to a joint allocation of the resource consumption responsibility to the fossil fuel producer and consumer as well. This review represents a unique, comprehensive and current collection of supply-side literature that can be used as a starting point for further applied research on this topic.

CiteSpace-Based Bibliometric Review of Pickup and Delivery Problem from 1995 to 2021

In this paper, we adopt the bibliometric analysis software CiteSpace to analyze the research status quo and evolution trend of pickup and delivery problem (PDP), an important real-world issue occurring in logistics and transportation. We obtain 819 documents with the topic of PDP that were published in the Web of Science core collection during the period 1995–2021, and acquire their basic situation of posting trend and category distribution. Next, we employ CiteSpace to draw scientific knowledge maps and perform the corresponding visualization analysis, which mainly include the following aspects: (a) collaboration analysis of author, country, and institution; (b) co-citation analysis of author, journal, and reference; (c) citation burst detection of keyword; (d) co-citation clustering analysis of reference. The results show that PDP research has gradually become interdisciplinary and highly comprehensive, and the evolution trend of hot topics also reflects that the research directions involve multiple academic disciplines and professional areas ranging from algorithm design to logistics management. The changing knowledge components reveal the fact that the development of PDP research is highly related to the diversity and uncertainty of realistic logistics industry contexts. Study in this paper provides comprehensive understandings of PDP research for scholars and logistics practitioners, inspiring its further investigation.

The Accuracy of Machine Learning Approaches Using Non-image Data for the Prediction of COVID-19: A Meta-Analysis

Objective

COVID-19 is a novel, severely contagious disease with enormous negative impact on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID-19 remains yet elusive. Recently, there has been a surge of interest in applying machine learning techniques to predict COVID-19 using non-image data. We have therefore undertaken a meta-analysis to quantify the diagnostic performance of machine learning models facilitating the prediction of COVID-19.

Materials and methods

A comprehensive electronic database search for the period between January 1st, 2021 and December 3rd, 2021 was undertaken in order to identify eligible studies relevant to this meta-analysis. Summary sensitivity, specificity, and the area under receiver operating characteristic curves were used to assess potential diagnostic accuracy. Risk of bias was assessed by means of a revised Quality Assessment of Diagnostic Studies.

Results

A total of 30 studies, including 34 models, met all of the inclusion criteria. Summary sensitivity, specificity, and area under receiver operating characteristic curves were 0.86, 0.86, and 0.91, respectively. The purpose of machine learning models, class imbalance, and feature selection are significant covariates useful in explaining the between-study heterogeneity, in terms of both sensitivity and specificity.

Conclusions

Our study findings show that non-image data can be used to predict COVID-19 with an acceptable performance. Further, class imbalance and feature selection are suggested to be incorporated whenever building models for the prediction of COVID-19, thus improving further diagnostic performance.