Bibliometric Analysis of 21st Century Research Trends in Extracurricular Activities

By discovering and assessing articles in social sciences, this research explores the various aspects of current extracurricular activities research to further understand the knowledge base of this topic. The primary purpose of this study is to analyse the last 20 years of extracurricular activities research published in the Scopus database. VOSviewer software was used to perform bibliometric analysis such as co-occurrence, bibliographic coupling and co-authorship. Microsoft Excel was utilised to generate the tables and graphs in this paper. The analysis resulted in some interesting information which includes the steady growth of publications in extracurricular activities research that strongly indicates that it is still a trending topic and worth to be explored further. The Journal of Youth and Adolescence and the United States of America are the top journal and country that have contributed to this field of research, respectively. The analysis shows that the author key concepts are changing proportionally and apart from academic accomplishment and social capital that remain as the foci of interest, the adolescence developments is increasingly significant for future extracurricular activities research as well. This study also highlights the collaborative research networks of extracurricular activities among the authors across the globe. Consequently, it provides the opportunity to build networks among multiple countries that have significantly contributed to this area of research globally. As this is one of the initial Scopus databased bibliometric literature review on extracurricular activities, its contributions are not only on addressing the conceptual or contextual gaps for researchers that are interested in this discipline, but hopefully it will also be able to highlight some prospective areas that could be further explored in the near future.

O2 Facilitating engagement in surgical research through a virtual systematic review network: The RoboSurg Collaborative

Introduction For students and trainees, COVID-19 has restricted opportunities for training and development. We sought to develop a virtual network to facilitate remote engagement and training in surgical research during COVID-19. RoboSurg aims to conduct a series of systematic reviews, to summarise and critique the reporting of studies of robot-assisted surgery across seven upper gastrointestinal procedures. Methods A protocol was developed based on previously published work. Searches were undertaken to identify studies evaluating robotic pancreas, liver, oesophagus, stomach, gallbladder, bariatric and anti-reflux surgery. Participants were identified through social media and collaborative research networks. Abstracts were screened for inclusion by two participants. Data extraction is completed by teams of collaborators, entered into a bespoke REDCap database and verified by senior team member. Changes are logged, with rationale and feedback provided to collaborators and reviewed by a third reviewer to assess consistency. Results of each review will be summarised in narrative syntheses. Results A total of 134 collaborators have registered, with 73 active participants. Collaborators range from second year medical students to surgical registrars across the UK. To date, 9444 abstracts and 1653 full texts have been screened with 422 eligible articles identified. Data extraction for two systematic reviews, including 193 articles, has been completed using this approach. Conclusion RoboSurg has developed a network and methodological framework for the remote conduction of complex systematic reviews, which can be utilised to engage and train students and trainees in surgical research.

The CLEAR (Considering Leading Experts’ Antithrombotic Regimes around peripheral angioplasty) survey: an international perspective on antiplatelet and anticoagulant practice for peripheral arterial endovascular intervention

Background Antiplatelet and anticoagulant therapy are commonly used before, during and after peripheral arterial endovascular intervention. This survey aimed to establish antiplatelet and anticoagulant choice for peripheral arterial endovascular intervention in contemporary clinical practice. Methods Pilot-tested questionnaire distributed via collaborative research networks. Results One hundred and sixty-two complete responses were collected from responders in 22 countries, predominantly the UK (48%) and the rest of the European Union (44%). Antiplatelet monotherapy was the most common choice pre-procedurally (62%). In the UK, there was no difference between dual and single antiplatelet therapy use post procedure (50% vs. 37% p = 0.107). However, a significant majority of EU respondents used dual therapy (68% vs. 20% p < 0.001). There was variation in choice of antiplatelet therapy by the device used and the anatomical location of the intervention artery. The majority (82%) of respondents believed there was insufficient evidence to guide antithrombotic therapy after peripheral endovascular intervention and most (92%) would support a randomised trial. Conclusions There is widespread variation in the use of antiplatelet therapy, especially post peripheral arterial endovascular intervention. Clinicians would support the development of a randomised trial comparing dual antiplatelet therapy with monotherapy.

Mapping collaboration networks in talent management research

Purpose Despite the popularity of talent management (TM), very little has been published on the community of scholars that contribute to the knowledge base of the field. The purpose of this paper is to disclose the dynamics in TM research through a detailed analysis of its evolving collaboration networks (i.e. research communities) in order to identify key authors and major topics covered. Design/methodology/approach A total of 225 co-authored articles published on TM from 2001 to May 2016 were retrieved from the Web of Science and Scopus and then analyzed and mapped using social network analysis methods. Findings The authors identified two major scientific communities (one of 63 authors and the other one of 24 authors). Both communities not only have different characteristics and structure, but also focus on different topics. The authors identified key players within each community and offer a dynamic view on the main topics studied. Practical implications This paper may help practitioners and newcomers to the field to rapidly identify key players and main topics studied in the TM field. It may assist academic institutions and journal editorial teams in better assessing and identifying key scholars in this field. Originality/value This paper offers the first analysis of TM collaborative research networks.

A typology of collaborative research networks

Purpose Many studies have investigated how the structure of the collaborative networks of researchers influences the nature of their work, and its outcome. Co-authorship networks (CANs) have been widely looked at as proxies that can help bring understanding to the structure of research collaborative ties. The purpose of this paper is to provide a framework for describing what influences the formation of different research collaboration patterns. Design/methodology/approach The authors use social network analysis (SNA) to analyze the co-authorship ego networks of the ten most central authors in 24 years of papers (703 papers and 1,118 authors) published in the Proceedings of CASCON, a computer science conference. In order to understand what lead to the formation of the different CANs the authors examined, the authors conducted semi-structured interviews with these authors. Findings Based on this examination, the authors propose a typology that differentiates three styles of co-authorship: matchmaking, brokerage, and teamwork. The authors also provide quantitative SNA-based measures that can help place researchers’ CAN into one of these proposed categories. Given that many different network measures can describe the collaborative network structure of researchers, the authors believe it is important to identify specific network structures that would be meaningful when studying research collaboration. The proposed typology can offer guidance in choosing the appropriate measures for studying research collaboration. Originality/value The results presented in this paper highlight the value of combining SNA analysis with interviews when studying CAN. Moreover, the results show how co-authorship styles can be used to understand the mechanisms leading to the formation of collaborative ties among researchers. The authors discuss several potential implications of these findings for the study of research collaborations.