437 research outputs found
A Bibliometric Analysis of Peer-Reviewed Journal Publications by British Occupational Therapy Authors
Background: A bibliometric analysis was completed of the peer-reviewed literature from 1991 to 2015 written by British occupational therapy authors that was indexed in the Science Citation Index-Expanded (SCI-Expanded) or Social Sciences Citation Index (SSCI) databases.
Methods: “Occupational therapy” and “occupational therapist” were used as keywords to search journal articles’ publication title, abstract, author details, keywords, and KeyWords Plus. One of the authors had to be identified as a qualified occupational therapist with a British affiliation.
Results: From 1991 to 2015, 680 journal articles were published by British occupational therapy authors. The top three journals in which authors published were the British Journal of Occupational Therapy, Clinical Rehabilitation, and Disability and Rehabilitation. The five institutions that generated the largest number of occupational therapy articles were the University of Nottingham, Brunel University London, University of Southampton, Queen Margaret University, and the University of East Anglia. British authors often collaborated in the writing of manuscripts with other authors from Australia, the United States, Canada, and Sweden.
Conclusion: The quantity of occupational therapy peer-reviewed literature written by British authors has increased over the last 2 decades. British authors have made and continue to make noteworthy contributions to the profession’s body of refereed knowledge at the national and international levels
Research trend on TPACK through bibliometric analysis (2015-2019)
This paper aims to analyze the scientific trend of research on Technological Pedagogical Content Knowledge (TPACK) through bibliometric study and explore how the contribution of Indonesian researchers in the Scopus database from 2015 to 2019. The sample was composed of 2075 documents in total. The results revealed that scientific publication on TPACK has been increasing. United States contributed the most documents on TPACK as well as Singapore’s institutions dominated in this area. Meanwhile, Indonesia put its two representative’s institutions: Universitas Sebelas Maret and Universitas Pendidikan Indonesia, among the big ten institutions in the world. All Indonesian documents produced by teacher-producing universities and public universities. United States and Taiwan have also contributed to the most productive authors of TPACK. Then, the visualization of research trend on TPACK resulted in four major clusters: i) TPACK as a system; ii) TPACK in relating to its scale; iii) TPACK in connecting with quantitative parameters; and iv) TPACK under beliefs, intention, and technology acceptance. The research findings could aid related researchers to recognize the trend of TPACK research and recommend directions for further research
Bibliometric Analysis of the Research Output of Kuvempu University’s Publication in ISI Web of Science during 1990 – 2019
The present study is a bibliometric assessment of scientific research output of the Kuvempu University, Shankaraghatta, Shivamogga, Karnataka (1990 – 2019). The data collected from the Web of Science. The analysis includes yearly output of research productivity. The study focuses on Author Productivity pattern, types of documents/records, individual author’s research productivity, geographical collaboration of authors (countries of contributing authors) and distribution of research output by language
Application of artificial intelligence in COVID-19 pandemic : bibliometric analysis
The application of artificial intelligence (AI) to health has increased, including to COVID-19. This study aimed to provide a clear overview of COVID-19-related AI publication trends using longitudinal bibliometric analysis. A systematic literature search was conducted on the Web of Science for English language peer-reviewed articles related to AI application to COVID-19. A search strategy was developed to collect relevant articles and extracted bibliographic information (e.g., country, research area, sources, and author). VOSviewer (Leiden University) and Bibliometrix (R package) were used to visualize the co-occurrence networks of authors, sources, countries, institutions, global collaborations, citations, co-citations, and keywords. We included 729 research articles on the application of AI to COVID-19 published between 2020 and 2021. PLOS One (33/729, 4.52%), Chaos Solution Fractals (29/729, 3.97%), and Journal of Medical Internet Research (29/729, 3.97%) were the most common journals publishing these articles. The Republic of China (190/729, 26.06%), the USA (173/729, 23.73%), and India (92/729, 12.62%) were the most prolific countries of origin. The Huazhong University of Science and Technology, Wuhan University, and the Chinese Academy of Sciences were the most productive institutions. This is the first study to show a comprehensive picture of the global efforts to address COVID-19 using AI. The findings of this study also provide insights and research directions for academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these domains in the future
Mapping the history and current situation of research on John Cunningham virus – a bibliometric analysis
<p>Abstract</p> <p>Background</p> <p>John Cunningham virus (JCV) constitutes a family of polyoma viruses, which plays important roles in the progressive multifocal leukoencephalopathy (PML) and tumorigenesis. However, no bibliometric investigation has been reported to guide the researchers and potential readers.</p> <p>Methods</p> <p>Papers were collected from database Sci-expanded and Pubmed until May 22, 2008. The highly-productive authors, institutes and countries, highly-cited authors and journals were ranked. The highly-cited articles were subjected to co-citation and chronological analysis with highly-frequent MeSH words for co-occurrence analysis.</p> <p>Results</p> <p>Until now, 1785 articles about JCV were indexed in Sci-expanded and 1506 in Pubmed. The main document type was original article. USA, Japan and Italy were the largest three producers about JCV. Temple University published 128 papers and ranked the top, followed by University of Tokyo. Khalili K and Yogo Y became the core authors due to more than 20 documents produced. Journal of Neurovirology published more than 15 papers and ranked the top. Padgett BL and Berger JR were the first two highly-cited authors. Journal of Virology and Journal of Neurovirology respectively ranked to the first two highly-cited journals. These top highly-cited articles were divided into 5 aspects: (1) The correlation between JC virus and tumors; (2) Causal correlation of JCV with PML; (3) Polyoma virus infection and its related diseases in renal-allograft recipients; (4) Detection of JCV antibody, oncogene and its encoding protein; (5) Genetics and molecular biology of JCV. The MeSH/subheadings were classified into five groups: (1) JCV and virus infectious diseases; (2) JCV pathogenicity and pathological appearance of PML; (3) JCV isolation and detection; (4) Immunology of JCV and PML; (5) JCV genetics and tumors.</p> <p>Conclusion</p> <p>JCV investigation mainly focused on its isolation and detection, as well as its correlation with PML and tumors. Establishment of transgenic animal model using JCV T antigen would be a hopeful and useful project in the further study.</p
Quantifying and visualizing the transcranial direct current stimulation research indicators
The field of transcranial direct current stimulation (tDCS) has experienced significant growth in the past 15 years which is mainly devoted to determining the basic and clinical potential of tDCS in humans. The aim of this study is to quantitatively analyze the current worldwide progress on tDCS research as well as to highlight researchers, journals, institutions and countries which are contributing significantly in the past 18 years. We conducted a quantitative analysis of research articles regarding tDCS published from 1998 to 2016 and indexed in the web of science core collection database. Data was downloaded in October, 2016. In the past 18 years, there were 2457 studies on tDCS indexed by web of science database, including all documents type such as article, review, meeting abstract, proceedings paper, letters, and etc. This study is focusing on the main articles and reviews; therefore, the research production was reduced to 2000 publications. The analysis showed that most of the studies in the field were published by North American and European institutions with a reasonable proportion of the publications were also by Japanese institutions from Asia. From the perspective of research progress, we found that the number of published papers on tDCS has increased significantly in the past 10 years, between them a remarkable positive correlation exists
Mobile and wearable technologies for persons with disabilities: a bibliometric analysis (2000–2021)
Purpose: This study uses a bibliometric approach to analyse the patterns in research related to mobile and wearable technologies for persons with disabilities to evaluate the current state of relevant research. Materials and methods: A systematic search was done using two strings covering “disability” and “mobile and wearable technologies” in the titles of publications in the Web of Science database. Two researchers independently screened the results for relevant publications. During this process, the inclusion and exclusion criteria were deliberated and refined. An independent researcher checked the screening results against the finalized inclusion and exclusion criteria to ensure that the screening was done consistently. Results: A total of 2012 out of the 5990 retrieved publications from 2000 to 2022 were included for further analysis. We observed that publications in this area grew exponentially since 2011, almost doubling every 2 years between 2011 and 2015. Universities in the USA were the most active and prominent in relevant publications. Autism is the most researched disability in relation to mobile and wearable technologies. The publications cover both hardware (engineering, electrical and electronic) and software (computer science, theory and methods) technologies used for improving quality of life for persons with disabilities (rehabilitation). Conclusions: The majority of publications were from high income countries, indicating the need to study the digital divide among high-, low- and middle-income countries in adopting mobile and wearable technologies for persons with disabilities, especially ways of making these technologies more affordable and accessible to the under-privileged members of the community
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