Collaborative Research Research Articles

Benefits and challenges of reviewing across knowledge systems: ‘Gourmet omnivore’ pigs foraging in the wild

Abstract Evidence‐based conservation can benefit substantially from multiple knowledge sources and different knowledge systems. While traditional ecological knowledge (TEK) and collaborative research are increasingly acknowledged, detailed cross‐knowledge system reviews are scarce and their methodology underdeveloped. We have two objectives: to prepare such a review and to discuss the benefits and challenges of such reviews. We review pig keeping in forests and marshes, a historically widespread but nowadays almost extinct practice in Europe, but one with high potential for organic farming, conservation and restoration. We focus on what, when and how free‐ranging pigs forage in the wild. We review five knowledge sources: living and archived TEK, pig and wild boar scientific literature, and the authors' observations of foraging. Unexpectedly, given the amount of available information, archived TEK differed considerably from living TEK of svinjars (Serbian: traditional pig keepers), and scientific knowledge on pig and boar foraging from TEK. Svinjars deeply understood the consumption and avoidance behaviour of pigs towards 98 and 56 plant taxa, and 42 and 17 animal taxa, respectively. Our review showed that pigs are gourmet omnivores, optimizing and switching between foraging on earthworms, acorns, grasses and corn. Discrepancies between knowledge sources were rare, for example on the consumption of woody roots, earthworms, mushrooms and snakes/lizards. Sources were also complementary, filling each other's knowledge gaps. Topics where the cross‐knowledge system review was most fruitful were acorn foraging, browsing, earthworm and mushroom consumption. Differences in the contributions of the knowledge sources to the enriched picture resulted from the diverging interests and methodologies of the knowledge generators. We identified and discussed both the benefits (different approaches of knowledge generation; expanded time scales; complementarity; novel cause–effect explanations; identification of knowledge gaps; and biases) and the challenges (how to identify relevant publications and knowledgeable TEK holders; how to collate knowledge and verify its reliability; and how to conduct a culturally respectful synthesis) of cross‐knowledge system reviewing. Synthesis and applications. Cross‐knowledge system reviews help overcome limitations in ecological understanding and may provide a shared understanding among collaborating partners, build trust and foster acceptance of each other's knowledge as legitimate. Read the free Plain Language Summary for this article on the Journal blog.

Promising the earth: Forms of capital promised and pursued in Australian-Chinese research collaborations

Science is a space of both collaboration and competition, illustrated by international research collaboration (IRC) and its advantages for individual countries, institutions and scientists. IRC also brings together countries positioned unequally in global epistemic hierarchies. Little is known about how scientists navigate these tensions within IRC. We explore this through a study of Australian–Chinese IRC, drawing on interviews with Australian scientists and Bourdieu's theoretical framework. We identify specific capitals that are sought and promised in Australian–Chinese IRC, namely, scientific, economic and ‘environmental’ capital, with successful collaboration depending also on social and cultural capital. Differences in how Australia and China are positioned in global academic and scientific fields, and differences between national scientific fields, mean that collaboration facilitates access to forms of capital unobtainable in scientists’ home settings. Because the benefits of IRC are fundamentally relational and promissory, these will change alongside the global hierarchies that are, themselves, being reshaped by IRC.

AI‐assisted research collaboration with open data for fair and effective response to call for proposals

AbstractBuilding teams and promoting collaboration are two very common business activities. An example of these are seen in the TeamingForFunding problem, where research institutions and researchers are interested to identify collaborative opportunities when applying to funding agencies in response to latter's calls for proposals. We describe a novel deployed system to recommend teams using a variety of Artificial Intelligence (AI) methods, such that (1) each team achieves the highest possible skill coverage that is demanded by the opportunity, and (2) the workload of distributing the opportunities is balanced among the candidate members. We address these questions by extracting skills latent in open data of proposal calls (demand) and researcher profiles (supply), normalizing them using taxonomies, and creating efficient algorithms that match demand to supply. We create teams to maximize goodness along a novel metric balancing short‐ and long‐term objectives. We evaluate our system in two diverse settings in US and India of researchers and proposal calls, at two different time instants about 1 year apart (total 4 settings), to establish generality of our approach, and deploy it at a major US university. We validate the effectiveness of our algorithms (1) quantitatively, by evaluating the recommended teams using a goodness score and find that more informed methods lead to recommendations of smaller number of teams and higher goodness, and (2) qualitatively, by conducting a large‐scale user study at a college‐wide level, and demonstrate that users overall found the tool very useful and relevant.

Language and Education: Ideologies of Correctness

This review illustrates how language ideologies about correctness, in speaking and writing, have been discussed in research on the role of language in education. Research illustrates a give-and-take between the interests of multilingual speakers and advocates of language diversity on the one hand and, on the other, the correctness ideologies embedded in institutional demands for correctness and standardization (in schools and language policies) and commodification (in the global educational marketplace). More subtle than ideologies of correctness, language ideologies about “appropriate” language emerge as related to race, ethnicity, gender, and other embodied biases, and the nuanced mechanisms of language socialization illuminate the persistent dynamics of these appropriateness ideologies. Finally, we discuss the relevance of postcolonial epistemologies, the collaborative participatory research methods that are reframing what counts as correct and appropriate for the study of language and education, and the emerging role of generative artificial intelligence for language in education.

SCUBA implements a storage format-agnostic API for single-cell data access in R

While robust tools exist for the analysis of single-cell datasets in both Python and R, interoperability is limited, and analysis tools generally only accept one object class. Considerable programming expertise is required to integrate tools across package ecosystems into a comprehensive analysis, due to their differing languages and internal data structures. This complicates validation of results and leads to inconsistent visualizations between analysis suites. Conversion between object formats is the most common solution, but this is difficult and error-prone due to the rapid pace of development of the analysis suites and their underlying data structures. To address this, we created SCUBA (Single-Cell Unified Backend API), an R package that implements a unified data access API for all common R and Python single-cell object formats. SCUBA extends the data access approach from the widely used Seurat package to SingleCellExperiment and anndata objects. SCUBA also implements new data-specific access functions for all supported object types. Performance scales well across all SCUBA-supported formats. In addition to performance, SCUBA offers several advantages over object conversion for the visualization and further analysis of pre-processed single-cell data. First, SCUBA extracts only data required for the operation at hand, leaving the original object unmodified. This process is simpler, less error prone, and less memory intensive than object conversion, which operates on the entire dataset. Second, code written with SCUBA can use any supported object class as input, with simple and consistent syntax across object formats. This allows a single analysis script or package (like our interactive single-cell browser, scExploreR) to work seamlessly with multiple object types, reducing the complexity of the code and improving both readability and reproducibility. Adoption of SCUBA will ultimately improve collaboration and reproducible research in single-cell analysis by lowering the barriers between package ecosystems.

Deep Earth System Data Laboratory (DeepESDL)

Abstract. The Deep Earth System Data Lab (DeepESDL) provides an AI-ready, collaborative environment for researchers aiming to study the Earth's complex dynamics using various datasets and empirical approaches. Recently opened to Early Adopters, it builds on projects like CAB-LAB and ESDL, utilizing well-established Python and Julia technology stacks. DeepESDL offers programmatic access to extensive analysis-ready data cubes and computational resources, enabling researchers to focus on analysis without extensive preparations. Scientists can use persistently available data cubes or generate user-tailored cubes from own data or publicly available datasets. The goal is to streamline data processing through empirical or AI methods within high-dimensional Earth Observation workflows. DeepESDL addresses the complete research cycle, from discovery of earth data to powerful analyses, collaborative scientific research, advanced data visualisation and publication of results, promoting FAIR and Open Science. Apart from serving as a research environment, DeepESDL showcases scientific use cases and supports educational purposes through capacity building, academic programs, and Open Science initiatives. This paper presents an overview of DeepESDL.

A Bibliometric Review of Large Language Models Research from 2017 to 2023

Large language models (LLMs), such as OpenAI's Generative Pre-trained Transformer (GPT), are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks. LLMs have become a highly sought-after research area because of their ability to generate human-like language and their potential to revolutionize science and technology. In this study, we conduct bibliometric and discourse analyses of scholarly literature on LLMs. Synthesizing over 5,000 publications, this article serves as a roadmap for researchers, practitioners, and policymakers to navigate the current landscape of LLMs research. We present the research trends from 2017 to early 2023, identifying patterns in research paradigms and collaborations. We start with analyzing the core algorithm developments and NLP tasks that are fundamental in LLMs research. We then investigate the applications of LLMs in various fields and domains, including medicine, engineering, social science, and humanities. Our review also reveals the dynamic, fast-paced evolution of LLMs research. Overall, this article offers valuable insights into the current state, impact, and potential of LLMs research and its applications.

Generating and translating evidence for safe and effective medication management in aged care homes.

Generating and translating high-quality evidence is integral to providing safe and effective medication management for residents of aged care homes. Residents are often under-represented in trials of medication effectiveness and safety. This paper reviews opportunities and challenges for generating and translating evidence for safe and effective medication management in aged care homes. There are an increasing number of randomized controlled trials (RCTs) being conductedin aged care homes. Observational studies can also help address the evidence-practice gap arising from underrepresentation of residents in RCTs. Stepped-wedge and helix counterbalanced designs may help overcome limitations of traditional RCTs for evaluating medication management interventions in the aged care setting. Strategies for generating evidence include building effective partnerships with aged care homes and organizations, using novel trial designs, leveraging existing data and knowledge sharing through international platforms. Strategies for translating evidence include using quality indicators for audit and feedback, provision of education and training, engaging internal and external stakeholders, and development of local action plans and guideline implementation tools. There is an emerging interest in the role of knowledge brokers to facilitate knowledge translation. Future directions for generating and translating evidence include strengthening international research collaboration, industry partnerships, standardizing aged care home data to support national and international comparisons, and optimizing the use of technology. Initiatives may include improving access to routinely collected administrative health and medication data for conducting high-quality observational studies. Future studies should assess outcomes prioritized by residents to ensure that medication management strategies are tailored to their needs.

Management of adult mechanically ventilated patients: A UK-wide survey

Background: Mechanical ventilation is a common and often lifesaving intervention that is utilised in intensive care. However, the practices can vary between centres. Through this national survey we aim to gain more information about different strategies adopted across the UK. Methods: All adult intensive care units in the UK were approached to participate. The questionnaire was developed with an electronic survey engine and conducted between 09/11/2023 and 01/04/2024 (Survey Monkey®). The survey included questions on ventilator modes, settings, protocols/pathways, rescue strategies, immediate post-extubation period and follow-up. Results: There were 196 responses from 104 hospitals. The most widely adopted start-up ventilation mode was pressure-regulated volume-controlled mode. For acute hypoxaemic respiratory failure (AHRF), most of respondents reported full (39.8%) or partial compliance (58.1%) with the ARDSnet protocol, with PEEP settings being the commonest deviation. Prone positioning (99.0%), followed by recruitment manoeuvres (91.3%) were commonly used rescue measures during AHRF. APRV (55.7%), inhaled (51.3%) and systemic pulmonary vasodilators (44.1%) were also commonly used. Conservative oxygen targets (SaO2 of 88%–92%) were commonly adopted (70.6%). As a care bundle, intermittent ETT cuff pressure monitoring was more common (65.5%) than continuous cuff pressure monitoring (20.0%). Propofol and alfentanil were the most common initial sedative and analgesia (99.5% and 56.9%) respectively. Routine volatile anaesthetic use was rare. Conclusions: Our survey has shown significant variation of practice in common but crucial elements of management of patients receiving mechanical ventilation. We hope the results in our survey highlight potential future areas of research. Collaborators South-coast Peri-operative Audit and Research Collaborative (SPARC) Severn Trainee Anaesthetic and Critical Care Research group (STAR) Collaborative research in Anaesthesia in the Northeast (CRANE)

Rajabhat University Concept for Local Development: Strategies, Implementation, and Community Impact

Background and Aims: The Rajabhat University concept for local development is critical because it tailors educational and research efforts to meet specific regional needs, promoting targeted growth and innovation. These universities benefit local communities in both the short and long term by incorporating community engagement and sustainable practices. The purpose of this paper is to investigate Rajabhat University's contribution to community development. Methodology: This paper conducts a comprehensive literature review to assess Rajabhat University's role in regional development, focusing on academic research and case studies to highlight effective strategies and outcomes. This methodological approach yields a thorough understanding of universities' impact and best practices for promoting local development. Results: The finding found that Rajabhat Universities contribute to local development by providing tailored educational programs, conducting targeted research, and forming strong community partnerships. Their comprehensive approach not only addresses immediate regional needs, but also encourages long-term economic, social, and cultural growth. By incorporating sustainable practices and adapting to emerging trends, these universities ensure that their initiatives have a long-term and significant impact on the communities they serve. Conclusion: The findings show that Rajabhat Universities effectively promote local development through tailored education, targeted research, and strong community collaboration. Their strategies not only address current regional needs, but also promote long-term economic, social, and cultural development, ensuring a long-term impact on the communities they serve.

Collaborative Journalism Around the Globe: A Systematic Review

This systematic review examines a decade of collaborative journalism research globally, extracting 40 articles from ProQuest and Scopus databases. The study underscores collaborative journalism’s efficacy in addressing cross-border issues and engaging diverse audiences but note its underexplored status in Africa. Four dimensions emerged: social media and audience engagement, journalism education and technology, challenges and barriers, and collaboration models. Identified research gaps include media policy, violence against journalists and ethical implications. The review advocates grounded studies using appropriate theories and calls for more collaborative journalism research in Africa.

Using participatory and inclusive methodologies to explore inclusive education in Africa

Background: This paper presents researchers’ experiences using participatory, inclusive research methodologies to explore aspects of inclusive education, with children with disabilities, parents, and teachers in Nigeria and Kenya.Objectives: The objective is to describe working with children and adults with disabilities, as research collaborators, alongside local INGO staff and OPD partners.Method: In Kenya we worked with 9 peer researchers with disabilities to run focus groups and interviews with children with disabilities, parents and teachers about inclusive pre-school education. In Nigeria we ran participatory workshops with children with disabilities, and their parents discussing what makes school and community settings inclusive, to inform the design of a Wellbeing and Inclusion checklist. The studies were based in pilot primary schools and Early Childhood Development and Education (ECDE or pre-school) classes in Nigeria and Kenya respectively. The data produced were recordings and notes from focus group discussions, interviews and activities and reflections from the peer researchers. Data analysis was an inclusive participatory process of thematic analysis carried out in person and online.Results: These innovative approaches demonstrate that with careful planning and support, both adults and children with disabilities can be involved very directly in research processes not just as participants but as researchers.Conclusion: We argue that using participatory, disability-inclusive approaches helps to make the findings more nuanced and genuine and the data and outputs generated uniquely grounded in people’s realities and perspectives.Contribution: These methods can potentially inform the mainstreaming of a disability inclusion approach into international development debates and activities.

The Quality and Cultural Safety of Online Osteoarthritis Information for Affected Persons and Health Care Professionals: Content Analysis.

Osteoarthritis is more prevalent and severe among women than among men, but women are less likely to access early diagnosis and first-line management, particularly racialized immigrant women. Previous research advocated for greater access to culturally safe osteoarthritis information for both diverse women and health care professionals. The internet can reduce disparities by facilitating access to health information, but online materials can vary in quality. This study aimed to assess the quality and cultural safety of online osteoarthritis materials for persons affected by osteoarthritis and health care professionals. Content analysis was used to describe publicly available materials on osteoarthritis first-line management developed by Canadian organizations for affected persons or health care professionals. Searching, screening, and data extraction were performed in triplicate. We identified materials by searching Google, MEDLINE, and references of osteoarthritis-relevant guidelines and policies, and consulting our research team and collaborators. We assessed quality using DISCERN (University of Oxford) and a compiled framework for affected persons and health care professionals. We compiled frameworks to assess cultural safety. We derived an overall score, categorized as low (<50%), moderate (50%-69%), or high (≥70%+) for criteria met. After screening 176 items and eliminating 129, we included 47 osteoarthritis materials published between 2013 and 2023. Of those, 43 were for persons with osteoarthritis, most were developed by charities (n=31, 72.1%), based on expert advice (n=16, 55.2%), and in the format of booklets (n=15, 34.9%) or text on web pages (n=10, 23.3%). Of those, 23.3% (10/43) low, 46.5% (20/43) moderate, and 30.2% (13/43) high scored quality; and 25.6% (11/43), 48.8% (21/43), and 25.6% (11/43) were rated low, moderate, and high cultural safety, respectively. Of the 47 included osteoarthritis materials, 4 were for health care professionals. They were developed by a consortium (2/4, 50%), a charity (1/4, 25%), and a professional society (1/4, 25%), and largely based on expert advice (3/4, 75%). The format included infographics (3/4, 75%) and text on web pages (1/4, 25%). Of those, 25% (1/4), 25% (1/4), and 50% (2/4) were rated low, moderate, and high quality, respectively; and all were rated low for cultural safety. Quality and cultural safety did not appear to be associated with the characteristics of osteoarthritis materials (eg, type of developer, development method, and format). Overall, included osteoarthritis materials for persons with osteoarthritis and health care professionals were of low to moderate quality and cultural safety. These findings reveal the need for further efforts to improve existing or develop new osteoarthritis materials for both affected persons, including ethnoculturally diverse immigrant women, and health care professionals. Further research is needed to assess the quality and cultural safety of osteoarthritis materials developed by organizations outside of Canada and to establish a framework or instrument to assess cultural safety in the osteoarthritis context.

The Inquiry Initiative and “Opportunity Gaps”: Collaborative Research Structures and Challenging Inequities in Teacher Education

ABSTRACT While academic conferences and professional associations were amongst those societal structures that were immediately (and arguably forever) changed by the pandemic , many – including this article’s authors and this special issue’s editors – would argue that long before the pandemic, the static structure of professional conferences had made them decidedly less relevant to their members and their fields. In response, in 2022 the Association of Teacher Educators launched the Inquiry Initiative, aiming to develop a novel form of collaborative research structure, uniting teacher education scholars and practitioners to examine and address “opportunity gaps” in education. In this introductory article to this special issue, we explore these professional association contexts and teacher education research circumstances in an effort to help readers understand the unique set of factors that have resulted in this edition of The New Educator. We share a concise history of academic conferences in the US; we situate this history in a brief literature review on collaborative research structures. We outline the elements of the Initiative as it has been implemented over the course of the last three years, concisely detailing the nature of the “opportunity gaps” focus of the first Initiative, and offering short summaries of the articles in this special issue, considering their connections to the “opportunity gaps” topic. We conclude with a reflection on the nature of academic scholarship in the US and the need for and place of such alternative collaborative structures in the service of these research endeavors.

Training for transformation: examining food systems courses at US land-grant universities

Higher education institutions can play an essential role in preparing students to participate in movements for just and sustainable food systems change. For the past two decades, many United States land-grant universities (LGUs) have developed food systems education (FSE) courses. This study examined the extent to which FSE courses employ four capacities deemed crucial by the FSE literature: multidimensional approaches, interdisciplinarity, centering equity, and training students to take action in food systems. The syllabi of 171 undergraduate courses at 20 LGUs were obtained by contacting instructors, and their course descriptions and learning outcomes were analyzed. This subset of LGUs were identified from the membership list of the Menus of Change University Research Collaborative (MCURC), a nationwide network of colleges using campus dining halls and classrooms as living laboratories for food systems change. Most course descriptions and learning outcomes exhibited multidimensional approaches and interdisciplinarity. However, many failed to incorporate teaching content and practices that help students critically examine equity and social justice issues in food systems, or engage in transformative change. LGUs have both the resources and urgent responsibility to empower students to be part of movements to transform unjust, unsustainable food systems. The findings of this study, and an accompanying open-access syllabus website, aim to accelerate the development of FSE curricula that prepare students to change food systems.

Give Credit Where It’s Due: The Ethical Imperatives of Authorship Attribution in Collaborative Research

This article proposes practical steps for those new to collaborative research or those seeking to improve the nature of collaborative research partnerships. Questioning academia’s exaltation of publications and authorship as coveted assets, the authors critically analyze the often complex, contentious, and ambiguous environment of collaborative research and negotiating authorship. With respect to academic publishing and ethics of authorship, this article grapples with two critical questions: (1) What factors create ethical dilemmas in authorship in academia? (2) How can academics and researchers better navigate the complexities of collaborative research to sustain ethical authorship practices? A seven-phase process model is proposed to guide the collaborative research process to mitigate ambiguities that reside in the black box. The seven phases encompass problem settings and pre-negotiations, direction setting: action planning, social capital, re-negotiations, equity and inclusivity, implementation- the submission-revision cycle, and reflexivity. This theoretical analysis aims to offer a useful resource to promote enhanced collaborative practices, and the authors take an explicit advocacy and visionary perspective to promote transparency, accountability, and reciprocal trust, to shatter overarching issues such as oppressive, deceitful, and exploitative norms in academic authorship practices.

New insights on the role of the farm household-farm operation interface in family farm persistence and a call for future research

Rural social scientists have long sought to understand what the structure of agriculture will look like in the future, who is going to do the work, and under what conditions with a focus on family owned and operated farms. Central to the theorization of farm families' ability to continue farming in the midst of on-going changes are the deep inter-connections between the farm household and the farm operation and farm families’ ability to adjust how resources are used within the farm household and operation spheres. Yet in this paper we argue that the interface between the household and operation has largely been treated as a black box and when it has been considered, it has largely been from the vantage point of the farm operation at the expense of the farm household. We substantiate our argument by drawing on insights from our individual research and collective discussions during a three-day workshop around three themes (i.e. gender, life course and farm business cycle, formal and informal support systems). As an invitation for others to join us in opening a new line of research, we propose a research agenda and discuss considerations around research designs, data, funding, and collaborations to tackle this research agenda.

Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024).

While bibliometric studies of individual journals have been conducted, to the best of our knowledge, bibliometric mapping has not yet been utilized to analyze the literature published by the Journal of Medical Internet Research (JMIR). In celebration of the journal's 25th anniversary, this study aimed to review the entire collection of JMIR publications from 1999 to 2024 and provide a comprehensive overview of the main publication characteristics. This study included papers published in JMIR during the 25-year period from 1999 to 2024. The data were analyzed using CiteSpace, VOSviewer, and the "Bibliometrix" package in R. Through descriptive bibliometrics, we examined the dynamics and trend patterns of JMIR literature production and identified the most prolific authors, papers, institutions, and countries. Bibliometric maps were used to visualize the content of published articles and to identify the most prominent research terms and topics, along with their evolution. A bibliometric network map was constructed to determine the hot research topics over the past 25 years. This study revealed positive trends in literature production, with both the total number of publications and the average number of citations increasing over the years. And the global COVID-19 pandemic induced an explosive rise in the number of publications in JMIR. The most productive institutions were predominantly from the United States, which ranked highest in successful publications within the journal. The editor-in-chief of JMIR was identified as a pioneer in this field. The thematic analysis indicated that the most prolific topics aligned with the primary aims and scope of the journal. Currently and in the foreseeable future, the main themes of JMIR include "artificial intelligence," "patient empowerment," and "victimization." This bibliometric study highlighted significant contributions to digital health by identifying key research trends, themes, influential authors, and collaborations. The findings underscore the necessity to enhance publications from developing countries, improve gender diversity among authors, and expand the range of research topics explored in the journal.

Environmental, social, and governance performance: The role of Chinese employee stock ownership plans

The challenges of global warming, resource depletion, and environmental protection require immediate action from corporations, governments, and communities globally. Implementing environmental, social, and governance (ESG) measures represents a key strategy for corporations in addressing sustainability concerns. This study investigates how the ESG performance of publicly listed companies in China is influenced by employee stock ownership plans (ESOPs). Utilizing a dataset covering 4,464 publicly listed Chinese corporations from 2009 to 2022, this analysis employs fixed-effects regressions to reveal the beneficial impact of ESOPs on corporate ESG ratings. A firm’s transition from non-ESOP to ESOP status raises ESG ratings by 1.213, representing 22% of the ESG score’s standard deviation. The findings indicate that greater involvement of the top management team in an ESOP weakens the positive impact of the ESOP on corporate ESG performance. The positive impact of ESOPs on ESG performance is insignificant in the agriculture sector but more pronounced in the manufacturing and service sectors, where the transition to ESOP status results in ESG score increases of 1.122 and 1.500, respectively. The issue of endogeneity is addressed by utilizing a lagged ESOP independent variable and applying two-stage least squares regression with the average ESOP serving as the instrumental variable. The findings confirm that causality runs from ESOP to ESG rather than ESG influencing ESOP. AcknowledgmentThis study was supported by the Department of Education of Zhejiang Province – General Program (Y202249981, Y202353438), the Wenzhou Association for Science and Technology – Service and Technology Innovation Program (jczc0254), the Wenzhou-Kean University Student Partnering with Faculty Research Program (WKUSPF202404, WKUSPF202411), the Wenzhou-Kean University International Collaborative Research Program (ICRP2023002, ICRP2023004), and the Wenzhou-Kean University Internal Research Support Program (IRSPG202205, IRSPG202206).

Bibliometric analysis on bodybuilding

Over the past few years, there has been a consistent rise in the popularity of bodybuilding. This study did a bibliometric analysis to offer a systematic overview and facilitate researchers in obtaining comprehensive insights on the peculiarities of bodybuilding research. This study utilized the bibliometric analysis program Bibliometrix to identify 940 papers on bodybuilding from the Web of Science database. The publications were selected from the years 1976 to 2024 and were used for the analysis. This study provides a thorough and detailed analysis of bodybuilding research using visual representations. It includes information on the frequency of publications, the nations that have had the most impact on bodybuilding research (including institutions, sources, and authors), and notable areas of focus within the field. Furthermore, the research collaboration among nations (regions), organizations, and authors is depicted based on a set of collaboration studies. The bibliometric study of current literature offers useful and groundbreaking sources for academics and practitioners in the field of bodybuilding-related studies.