Citation Trends Research Articles

Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements

Text summarisation plays a pivotal role in efficiently processing large volumes of textual data, making it an indispensable tool across diverse domains such as healthcare, legal, education, and journalism. It addresses the challenge of information overload by condensing or generating concise, meaningful summaries that improve decision-making, enhance accessibility, and save valuable time. Advances in artificial intelligence continue to propel the growth of text summarisation research, particularly with the evolution from traditional extractive approaches to cutting-edge abstractive models like BERT and GPT, as well as emerging innovations in multimodal and multilingual summarisation. To trace the development of this field, this study integrates bibliometric analysis and an in-depth survey, leveraging data from the Web of Science database to explore citation trends, uncover influential contributors, and highlight emerging research areas. Furthermore, bibliometric and critical evaluations are employed to outline strategic pathways and propose future directions for the continued advancement of the field. By incorporating sophisticated visualisation tools such as VOSviewer and RawGraphs, the analysis provides an enriched understanding of the field’s trajectory, identifying significant methodologies, landmark contributions, and existing gaps. This comprehensive exploration not only underscores the progress achieved in text summarisation but also serves as an invaluable resource for shaping forthcoming research endeavours and inspiring innovation in this dynamic area of study.

Exploring Strategic Entrepreneurship Research: A Comprehensive Decadal Bibliometric Analysis

Strategic entrepreneurship indeed plays a crucial role in contemporary business environments. It integrates entrepreneurial actions with strategic management practices to navigate complexities and achieve long-term goals effectively. With an emphasis on trend analysis, collaborative mapping, and future objectives for the subject, bibliometric analysis of strategic entrepreneurship research is attempted to be done comprehensively in this work. The research aims to offer insights into strategic entrepreneurship literature's development and current status by utilizing data from the Scopus database spanning a decade of 2014 – 2024 with the 694 documents. The methodology involves collecting and analyzing data from Scopus using tools like Bibliometrix for data extraction and R-Studio for statistical analysis. VOSviewer is employed for visualizing co-authorship networks, keyword co-occurrences, and bibliographic couplings. The study filters publications using specific criteria related to strategic entrepreneurship, ensuring a focused dataset for analysis. Key metrics such as publication growth rates, international collaboration percentages, citation trends, and keyword frequencies are quantitatively analyzed to uncover patterns and relationships within the literature. By utilizing advanced bibliometric techniques, it provides a detailed visualization of the research landscape, highlighting emerging trends and identifying gaps for future exploration. The emphasis on international collaboration and the identification of influential authors, journals, and institutions offer novel perspectives on the dynamics of strategic entrepreneurship research.

A Decade of Business and Professional Communication Quarterly: A PRISMA Guided Systematic Review

This study presents a systematic review of the last decade of research published in Business and Professional Communication Quarterly, using PRISMA guidelines and bibliometric analysis. The review analyzes publication and citation trends, key contributors, and emerging themes. The research highlights how the field has evolved in response to global crises, technological advancements, and shifts in social dynamics. By exploring key themes such as virtual team communication, social presence in online learning, and the integration of emerging technologies, the study provides a comprehensive assessment of the journal’s contributions from 2014 to 2024. It also identifies future research directions.

Global analysis of vasoactive agents in septic shock management: Exploring trends and bridging knowledge gaps

Background: The swift administration of vasoactive agents is essential for effectively managing septic shock. However, the unavailability of norepinephrine—the primary recommended agent—in certain clinical settings necessitates the exploration of alternative solutions. This study aimed to identify both the key focus areas and the under-researched aspects related to this topic. Methods: The Scopus database was searched from inception until August 2, 2024, using a comprehensive list of keywords related to the topics of “septic shock”, “vasopressors”, and “hypotension”. Articles lacking original data, namely narrative reviews, errata, corrections, and conference papers, were excluded from the analysis. No language restrictions were applied. The retrieved search results were examined for publication and citation trends, international contributions by countries and institutions, keyword usage, and funding sources. Data visualization was accomplished using VOSviewer, the built-in Scopus analyzer, the bibliometrix R package, and Microsoft Excel. Results: A total of 7474 publications were retrieved. These studies were published between 1958 and 2024, with the year 2022 representing the highest number of publications, and 2016 having the most citations. While publications had raised until 2022 and dwindled since then, citations had fluctuating patterns throughout the years. The research landscape was marked by contributions from 207 countries, with 160 institutions publishing at least 22 studies each. The United States emerged as the leader in both publications and international collaborations in this field, followed by France, the United Kingdom, China, and Germany. Notably, all of the top 20 countries in terms of publication volume were classified as high-income or upper-middle-income nations, except India. This disparity can largely be explained by the differences in funding allocated to studies in these countries. Furthermore, 28,442 keywords relevant to this topic were collected. The demographic representation in the studies showed a predominance of males and older adults compared to their counterparts and a significant proportion of the studies were clinical investigations. Among the various vasopressors examined, terlipressin, angiotensin II, methylene blue, and selepressin were identified as the least studied agents. Conclusion: Consensus definitions and statements in critical care, particularly for controversial topics, are essential for enhancing communication and improving patient care. There is a need for prioritized research and funding in the Global South regarding enhanced septic shock management. Further studies on vasoconstrictor agents with limited evidence are warranted to strengthen the body of knowledge in this area.

Predicting Future Citations from A.I. Publication Trends: A Comparative Analysis of Forecasting Models

ABSTRACT Forecasting future citations based on trends in A.I. publications in libraries is essential for understanding the long-term impact of academic research. This study evaluates how well historical citation data from 2003 to 2023 can predict future citation patterns and compares the effectiveness of various forecasting models. The analysis includes traditional time series models like ARIMA and Exponential Smoothing, as well as machine learning techniques such as Linear Regression, Decision Tree Regression, Random Forest Regression, and Gradient Boosting Regression. ARIMA and Exponential Smoothing are chosen for their robustness in handling historical trends, while machine learning models are applied to capture complex, nonlinear relationships. The study assesses model performance using metrics such as Mean Squared Error (MSE) and R-squared values, identifying the most accurate models for forecasting. The findings reveal that Exponential Smoothing provides reliable forecasts of future citations, while Random Forest Regression demonstrates superior performance among machine learning techniques. Additionally, linear regression models predict citation and publication trends effectively, though they may benefit from more sophisticated approaches for greater accuracy. This research offers valuable insights for researchers, institutions, and policymakers, helping them anticipate the future impact of academic publications and guiding strategic decisions in research and funding.

Sustainable bonds as a sustainable financial instrument: thematic insights and future prospects

Purpose This study aims to explore the development and significance of sustainable finance instruments, mainly sustainable bonds. The purpose is to provide policymakers, regulators and researchers with insights into the current state of sustainable finance research and also provide future research directions. Design/methodology/approach This study used Scientific Procedures and Rationales for Systematic Literature Reviews as a review protocol and addressed four research questions concerning publication and citation trends, major themes and future research directions in sustainable bonds. Findings This study indicated growing attention in sustainable bond research, with increasing publication and citation trends. Along with identifying research themes, the findings include future direction on pricing and risk assessment, market dynamics and growth potential, policy and regulatory environments and global perspectives with local context. Research limitations/implications Although this study provides a robust analysis of the current literature, it relies on existing publications and may not capture the latest developments in sustainable bond research. However, policymakers can benefit from insights into the growth and dynamics of sustainable bonds, enabling them to implement effective policies and regulations. Investors and businesses can use this research to inform their environmental, social and governance investment strategies and decision-making processes. Originality/value This paper suggests a comprehensive overview of the state of research in sustainable bonds, highlighting the emerging trends and research priorities. It also underlines the significance of sustainable finance in achieving sustainability goals and provides a roadmap for future research.

Bibliometric Analysis of Research Trends and Prospective Directions of Lung Microbiome.

The lung microbiome has emerged as a pivotal area of research in human health. Despite the increasing number of publications, there is a lack of research that comprehensively and objectively presents the current status of lung microbiome-related studies. Thus, this study aims to address this gap by examining over two decades of publications through bibliometric analysis. The original bibliographic data of this study were obtained from the Web of Science Core Collection, focusing on publications from 2003 to 2023. The analysis included the data extraction and examination of authors, affiliations, countries, institutions, abstracts, keywords, references, publication dates, journals, citations, H-indexes, and journal impact factors. A total of 845 publications were identified, showing an increasing trend in both publications and citations over the years, particularly in the last decade. The analysis highlighted the most productive authors, institutions, and countries/regions, and identified potential partners for interested researchers. Co-citation analysis revealed that lung microbiome- and infectious/pulmonary disease-related studies are at the forefront of the field. The hotspots and frontiers of the lung microbiome field have progressed from basic composition to exploring specific mechanisms and the clinical value of diseases. In conclusion, this study provides a comprehensive overview of the current research status and trends in the field of the lung microbiome over the past two decades and highlights the areas that need more attention and research efforts. It offers valuable insights for researchers and institutions and identifies key hotspots and frontiers, which can serve as references for related researchers and future research.

A Bibliometric Analysis of the Top 100 Cited Qualitative Research Papers in Dentistry From Scopus (1998-2024).

This bibliometric analysis aimed to identify trends among the top 100 most cited qualitative research articles in dentistry. Articles were retrieved from the Scopus database and screened based on predefined inclusion and exclusion criteria. The final set of 100 articles was then analyzed in R Studio (RStudio Team, Boston, MA) to assess performance metrics, including publication and citation trends, citation-publication relationships, and science mapping. Science mapping offers insights into citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship patterns. The top 100 articles had citation counts ranging from 11 to 606, with publication dates spanning from 1998 to 2021, and were coauthored by 351 individuals across 35 different journals. Most papers originated from Europe, followed by North America and Asia. The United Kingdom contributed the most articles (27), and BMC Oral Health was the most frequently cited journal. Among the 351 authors, Hallberg U. was the most cited. The predominant study design was descriptive quantitative. Keyword analysis revealed diverse thematic groupings, reflecting the broad scope of qualitative research in dentistry. Key trending topics included dental care, attitude to health, child, health behavior, dental caries, clinical competence, psychological aspects, and motivation. This bibliometric evaluation provides an overview of qualitative research trends in dentistry and offers valuable insights to guide future research, emphasizing the need for high-quality qualitative studies across various dental fields to strengthen evidence-based practice.

Mapping the Future: Unveiling Global Trends in Smart Waste Management Research

This study aims to investigate the current landscape and collaborative dynamics of research integrating Big Data with smart waste management (SWM) through a comprehensive bibliometric analysis. We examined 2,808 scientific articles published from 2007 to 2024 using advanced bibliometric tools, VOSviewer and R-Studio (Bibliometrix R Package), to understand trends, influential contributions, and research gaps. Our findings reveal key collaboration networks, author dynamics, and international cooperation patterns, highlighting productive countries, regions, and organizations in this emerging field. The analysis of publication and citation trends shows a significant growth in research output over the studied period, indicating increased interest and investment in SWM research. Additionally, we identified the top 10 journals, authors, countries, and organizations leading in productivity. By constructing author co-citation cluster networks from Web of Science data, we mapped prominent research clusters and organizational collaborations that drive advancements in SWM, particularly within smart cities. While the findings underscore notable progress, they also reveal that many organizations remain in the early stages of SWM exploration. These insights can help researchers and policymakers strengthen collaborative networks, accelerate research development, and support practical applications of SWM solutions. We also discuss limitations in bibliometric classification methods and propose future research directions, including more in-depth content analyses of SWM and related technologies.

A Bibliometric Analysis of the Articles Published in the Aesthetic Plastic Surgery Journal (1976-2023).

Despite the important role of the Aesthetic Plastic Surgery (APS) journal in the field of aesthetic plastic surgery, there is a notable absence of literature that focuses exclusively on the bibliometric analysis of this journal. In recognition of APS's 48 years of publishing, this study aims to perform a bibliometric analysis of the articles published in the APS (1976-2023). Articles published in the APS were extracted from the Web of Science Core Collection database. VOSviewer was employed to perform bibliometric analyses. Microsoft Excel was utilized to analyse the publication and citation trends. From 1976 to 2023, 5134 articles were published in the APS. These articles were contributed by 12,963 researchers from 3354 institutions across 91 countries. The USA and China were the leading contributors. The most prolific author is Luan Jie from China. The co-citation networks highlighted the influence of the journal Plastic and Reconstructive Surgery. We categorized the articles into four groups, and the results show that articles with the highest publications and citations in the APS are related to facial cosmetic surgery. In terms of specific surgical procedures, breast augmentation surgery has garnered consistent attention from researchers over the past 48 years, ranking first in both the number of publications and citations. The findings of this study indicate that the APS is a significant scientific journal, is widely utilized by global researchers in the field of aesthetic plastic surgery, and spans diverse knowledge domains. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Intellectual landscape of scholarly work on 21st century skills: A bibliometric and science mapping analysis

A quick search on Google Scholar for the exact phrase ‘21st century skills’ resulted in three thousand plus results. More than two-third of these are dated within the last decade, indicating growing attention to the topic in the academia. The purpose of the current study is to investigate existing literature on 21st century skills by employing techniques of bibliometric and science mapping analysis to provide a helicopter view of scholarly work on 21st century skills. The search was conducted on SCOPUS database during 2021 using the keyword ‘21st century skills’ which produced 1644 results. Further refinements were made using publication year, document type and language reducing the sample size to 1281 documents. Data were analysed employing various bibliometric indicators such as number of publications, contributing authors, institutions and countries, citation, co-citation, and keywords. The results indicated an exponential growth in the number scholarly publication on the topic since 2010. Similarly, a positive trend in average citations was also observed in recent years. USA was the biggest contributor to the number of publications, followed by Indonesia, and Malaysia respectively. With respect to author collaboration, Nussbaum, M. was found the highest collaborator, followed by Griffin P., and Sharples M. while among the institutions, University of Melbourne was at the top. Analysis of the keywords revealed that, specific 21st century skills, learning tools and processes, technological advancement, and education and training are amongst the most common research themes. Findings of the current study provide insights into future research trends on the topic of 21st century skills.

A Bibliometric Analysis of Publications on University-Industry Collaboration Using VOSviewer and R-biblioshiny

This bibliometric analysis studied the development trends, publication and citation counts, research themes and trends, and international cooperation models related to university-industry collaboration from 1970 to 2023. Firstly, using a broader set of search terms related to university-industry collaboration, we conducted a comprehensive search of the global literature from 1970 to 2023 in the Web of Science (WoS) database. Secondly, based on inclusion and exclusion criteria, we ultimately selected 592 articles for analysis. Subsequently, we used VOSviewer and R-biblioshiny as analytical tools to extract and analyze relevant data from the selected articles. The study identified the most influential institutions, journals, authors, and countries in this field. Additionally, based on keyword co-occurrence analysis, research related to university-industry collaboration is distributed across five clusters: (1) innovation and technology transfer, (2) internships and work experience, (3) cooperative education and learning outcomes, (4) collaboration models and partnerships, and (5) collaboration barriers, challenges, and sustainability. Recent research has focused on themes such as technology transfer, barriers, benefits, and the motivations driving collaboration.

Orthopedic research productivity of KSA: First bibliometric analysis

PurposeMedical research is a crucial indicator of a nation's reputation and development. However, there are concerns about the limited orthopedic research in Kingdom of Saudi Arabia (KSA). Therefore, this study conducted bibliometric analysis to investigate orthopedic research output from KSA. MethodsPubMed database for orthopedic articles, with a minimum of one KSA-affiliated orthopedic author published from the year 2000 onwards, was searched. This excluded duplicate articles, corrections, letters, editorials, commentaries, and brief communications. The titles of the included articles, publication years, first and corresponding authors' primary affiliations and countries, countries and institutes of research, and total citations were noted. Thereafter, year-wise research contribution, top contributing and collaborating nations, top contributing affiliations, study types, levels of evidence, journal distribution, their impact factor, h-index and quartile-related information, and citation trends were analyzed. ResultsThe search strategy yielded 1047 eligible articles. An increasing trend in research contributions in recent years was observed, with the least number of articles (8) contributed in 2005 and the most (140) in 2023. The research was conducted in KSA for most articles (83.48%). Authors from Canada collaborated in 3.44% of the articles. King Saud University was the top contributing institution (17.38% of all articles). There were 66 (6.30%) basic science studies and 873 (83.3%) clinical studies. Among non-basic science studies, 84.51% had level IV evidence. Overall, 73.83% of articles had either first/corresponding or both authorships from KSA-affiliated orthopedic authors. The eligible articles were published in 303 journals, with a mean impact factor of 3.04 (range 0.4-51.1, 165 journals) and a mean h-index of 59.2 (range 1-367, 277 journals). Overall, 31.23% of articles with quartile information available were published in first-quartile journals. ConclusionsThe orthopedic research productivity in KSA is limited. However, there has been an increasing trend in orthopedic research in recent years. Nevertheless, the quality of clinical research, particularly the level of evidence, needs improvement. Therefore, further efforts should be made to strengthen research opportunities and encourage research participation among orthopedic and medical institutes.

Recent Global Trends and Hotspots in Occipitocervical Fusion: A Bibliometric Analysis and Visualization Study

Occipitocervical arthrodesis has a variety of indications to treat craniocervical and atlantoaxial pathologies for which a selective cervical fusion would not provide sufficient stability. Over time, the indications for occipitocervical fusions (OCF) have evolved, as new technologies and surgical techniques were developed. In this bibliometric analysis, we aim to explore the progression of OCF literature over time, analyzing the trends in publications and citations, publishing countries and authors, keywords and topics. The Web of Science database was used for data retrieval on July 3rd, 2024, with the search "occipitocervical fusion" OR "occipito-cervical fusion" OR "occipitocervical arthrodesis" OR "occipital cervical fusion" OR "occipital cervical arthrodesis" OR ("OCF" AND "spine surgery"). Excel was used to create the citation analysis and publication trend figures, along with the publishing countries and author analysis. The bibliometric software VosViewer was used to generate the keyword co-occurrence network visualizations. Overall, 762 articles were extracted. The number of pertinent publications and citations increased until 2020 before beginning to decrease. We found that Ehlers Danlos syndrome (EDS) has become a more prevalent topic, as the association between EDS and craniocervical instability has received further scrutiny. "Dysphagia" continues to be a commonly cited topic, while, conversely, rheumatoid arthritis has decreased in publication frequency, possibly related to advances in medical management and surgical techniques. Overall, the United States of America, China, and Japan are the top publishing countries. This analysis of OCF literature provides a helpful overview of emerging trends and clinician concerns, especially as seen through the perspective of time.

Exploring How Acquired Diversity of Teams Influences the Innovation Diffusion in Artificial Intelligence

ABSTRACTThis study explores innovation diffusion in Artificial Intelligence (AI) over the past 70 years, focusing on the impact of acquired diversity(including discipline diversity and topic diversity) of teams. We obtained 906,065 AI papers with 18,357,761 citations written by 1,316,936 authors between 1950 and 2015 from the Microsoft Academic Graph. Using citation analysis, we examine how AI innovations spread and the influence of the acquired diversity of teams on this process. We measure innovation diffusion from four aspects: innovation speed, innovation diffusion power, innovation diffusion breadth, and innovation diffusion breadth diversity. Our findings show that: (1) AI papers published before and after 2000 demonstrate distinct diffusion patterns. AI papers published before 2000 show a bimodal citation trend, while those released after 2000 present only a single peak in citations. (2) The first citation interval can be reduced by 2.35 years before 2000 and by 0.27 years after 2000 by enhancing topic diversity. (3) Both discipline diversity and topic diversity effectively promote innovation diffusion power, innovation diffusion breadth, and innovation diffusion breadth diversity in the field of AI.

A Review and Bibliometric Analysis of Studies on Advances in Peripheral Nerve Regeneration.

Peripheral nerve injuries (PNIs) pose significant clinical challenges due to their complex healing processes and the often incomplete functional recovery. This review and bibliometric analysis aimed to provide a comprehensive overview of advancements in peripheral nerve regeneration research, focusing on trends, influential studies, and emerging areas. By analyzing 2921 publications from the Web of Science Core Collection, key themes such as nerve regeneration, repair, and the critical role of Schwann cells were identified. The study highlights a notable increase in research output since the early 2000s, with China and the United States leading in publication volume and citations. The analysis also underscores the importance of collaborative networks, which are driving innovation in this field. Despite significant progress, the challenge of achieving complete functional recovery from PNIs persists, emphasizing the need for continued research into novel therapeutic strategies. This review synthesizes current knowledge on the mechanisms of nerve regeneration, including the roles of cellular and molecular processes, neurotrophic factors, and emerging therapeutic approaches such as gene therapy and stem cell applications. Additionally, the study revealed the use of nanotechnology, biomaterials, and advanced imaging techniques, which hold promise for improving the outcomes of nerve repair. This bibliometric analysis not only maps the landscape of peripheral nerve regeneration research but also identifies opportunities for future investigation. This study has some limitations, including reliance on the Web of Science Core Collection, which may exclude relevant research from other databases. The analysis is predominantly English-based, potentially overlooking significant non-English studies. Citation trends might be influenced by shifting research priorities and accessibility issues, affecting the visibility of older work. Additionally, geographical disparities and limited collaboration networks may restrict the global applicability and knowledge exchange in this field.

Analysis of Research Hot Spots in Chinese and International English Ecohydrological Literature

ABSTRACTTo enhance comprehension of current research progress in the field of ecohydrology and to provide valuable references for future related research, policy formulation and international collaboration, this article relies on ecohydrology‐related literature and citation records in four databases: China Knowledge Network (CNKI), Wanfang Database, Web of Science (WOS) and Elsevier, up until the end of 2022. We use publication and citation trends analysis along with keyword hotspot analysis using VOS viewer to investigate publication and citation trends in Chinese and English literature. The study systematically analyse the process of keyword changes and research hotspots in Chinese and international English literature, providing a detailed explanation of the differences in research hotspots and the reasons for their formation. The research indicates that since the inception of the term ‘ecohydrology’, relevant literature has displayed sluggish growth alongside rapid development. Additionally, alterations in primary keywords have differed between Chinese and English literature over time. However, ‘groundwater’ has consistently retained a significant amount of attention within Chinese literature. Groundwater has been extensively studied in Chinese literature, with a particular focus on eco‐hydrological processes, their effects, modelling and techniques. Similarly, English language literature is abundant with keywords denoting pivotal concepts like the environment, hydrology, fauna and rivers. These areas have been the focal points of research for international scholars. Regional characteristics, ecological conditions, economic development level and scientific research priorities, among other factors, are all significant contributors to the development of the field of ecohydrology. Differences in research hotspots can also be attributed to geographical characteristics, ecological environment conditions and scientific research priorities. Over the past decade, there has been a gradual convergence in research between Chinese and English literature. The current hotspots of research in ecohydrology include basic research, theoretical applications and adaptive wide‐area mechanistic research. In the future, the discipline of ecohydrology is likely to face numerous challenges and opportunities related to climate change, resource management, and societal needs. Interdisciplinary collaboration, technological innovation and global cooperation will continue to drive breakthroughs in ecohydrology research.

Global Research Trends in the Links between Periodontal Disease and Cancer: A Bibliometric Analysis.

Both periodontal disease and cancer are prevalent conditions with significant impacts on individuals and society. Extensive research has suggested a potential link between these two diseases. This study conducted a bibliometric analysis using the Thomson Reuters Web of Science Core Collection database, focusing on publications from 2014 to 2023. The analysis included data extraction and examination of authors, affiliations, publication dates, journals, countries, citation counts, keywords, and the H-index. A total of 253 relevant articles were identified, showing an increasing trend in both publications and citations over the years. The analysis highlighted the most productive authors, institutions, and countries/regions, with Michaud DS and Abnet CC leading in the number of publications. Highly cited articles emphasized the role of specific oral microbiota, particularly F. nucleatum and P. gingivalis, in various cancers, suggesting their potential as diagnostic markers and therapeutic targets. Four key thematic clusters emerged from the keyword analysis: the broader health implications of periodontal disease, the microbiome's role in carcinogenesis, inflammation, and specific bacteria in cancer, and epidemiological methods in studying the disease-cancer association. This bibliometric analysis underscores the growing interest in the connection between periodontal disease and cancer. Future research should adopt interdisciplinary approaches, focus on large-scale microbiome studies and longitudinal research to understand the systemic effects of periodontal disease, identify cancer-associated bacterial profiles, and investigate the molecular mechanisms of bacterial carcinogenesis. Additionally, public health interventions aimed at improving oral hygiene and reducing cancer risk factors are recommended.

Evolution of Agroforestry Research: A Bibliometric Study

This bibliometric study examines the evolution of agroforestry research over several decades, analyzing publication patterns, citation trends, and collaboration networks. Utilizing data from a comprehensive database, we identified major thematic areas including sustainability, carbon management, and the socioeconomic impacts on smallholder farmers. The analysis reveals a significant growth in the focus on environmental benefits such as carbon sequestration and biodiversity conservation within agroforestry systems. Additionally, the study highlights the key roles of influential researchers and outlines the dynamic collaboration networks that drive the field. By mapping the intellectual landscape of agroforestry research, this study provides both theoretical insights and practical implications, emphasizing the contribution of agroforestry to sustainable land management and climate change mitigation. This research not only charts past and current trends but also identifies under-researched areas, suggesting directions for future investigation.

Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors

BackgroundVariant interpretation is essential for identifying patients’ disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant Impact Predictor database (VIPdb).ResultsThe Variant Impact Predictor database (VIPdb) version 2 presents a collection of VIPs developed over the past three decades, summarizing their characteristics, ClinGen calibrated scores, CAGI assessment results, publication details, access information, and citation patterns. We previously summarized 217 VIPs and their features in VIPdb in 2019. Building upon this foundation, we identified and categorized an additional 190 VIPs, resulting in a total of 407 VIPs in VIPdb version 2. The majority of the VIPs have the capacity to predict the impacts of single nucleotide variants and nonsynonymous variants. More VIPs tailored to predict the impacts of insertions and deletions have been developed since the 2010s. In contrast, relatively few VIPs are dedicated to the prediction of splicing, structural, synonymous, and regulatory variants. The increasing rate of citations to VIPs reflects the ongoing growth in their use, and the evolving trends in citations reveal development in the field and individual methods.ConclusionsVIPdb version 2 summarizes 407 VIPs and their features, potentially facilitating VIP exploration for various variant interpretation applications. VIPdb is available at https://genomeinterpretation.org/vipdb