Table_1_Intellectual disability and COVID-19: A bibliometric review.XLSX

BackgroundDuring the COVID-19 pandemic, the vulnerabilities of certain groups of people have been highlighted, such as people with intellectual disability (ID). Although related research on ID has developed rapidly during the COVID-19 pandemic, the quantitative analysis of those research results has not been systematically performed through bibliometric analysis. Bibliometric analysis is a useful and rigorous method to explore large volumes of research data, and it allows researchers to extract quantitative information on distribution by author, time, country, and journal.AimThe aim of the present study is to comprehensively analyze the current status and developing trends in publications on ID research related to and conducted during the COVID-19 pandemic.MethodsA bibliometric analysis was performed using the Web of Science database. Biblioshiny software was used to analyze and visualize the following information: main information of dataset, annual scientific production, journals which published the most relevant sources, most-cited authors, most-cited countries, most-cited global documents, word-cloud of keywords authors have used, and both the co-occurrence and co-citation networks.ResultsA total of 450 publications were included. The average number of citations per document was 5.104. Among the top three journals, Journal of Applied Research in Intellectual Disabilities published 32 articles, Journal of Intellectual Disability Research published 29 articles, and British Journal of Learning Disabilities published 17 articles. The article with the title COVID-19 and People with Intellectual Disability: Impact of a Pandemic was the most cited with total 144 citations The United Kingdom had the most publications and had strong cooperative relationships with the United States, Canada, and Australia. The most popular keywords included mental health, autism, developmental disability, and lockdown. Thematic map analysis identified several possible clusters, including telemedicine, physical activities, and mental health.ConclusionThe present study provides a better understanding in this research field and may help clinicians, researchers and stakeholders to obtain more comprehensive view of ID and COVID-19. The insights gained from this analysis could inform future research.

背景在COVID-19疫情爆发期间，特定人群的脆弱性得到了凸显，例如智力障碍人士（ID）。尽管在COVID-19疫情期间，与智力障碍相关的研究发展迅速，但这些研究结果的定量分析尚未通过文献计量分析进行系统性的执行。文献计量分析是一种有用且严谨的方法，可以探索大量研究数据，并允许研究者提取关于作者、时间、国家和期刊分布的定量信息。目标本研究旨在全面分析与COVID-19疫情相关及在疫情期间进行的智力障碍研究现状与发展趋势。方法利用Web of Science数据库进行了文献计量分析。Biblioshiny软件被用于分析和可视化以下信息：数据集的主要信息、年度科学产出、发表最多相关文献的期刊、被引用最多的作者、被引用最多的国家、被引用最多的全球文献、作者使用的关键词词云，以及共现和共引网络。结果共纳入450篇出版物。每篇文献的平均引用次数为5.104次。在排名前三的期刊中，应用智力障碍研究杂志发表了32篇文章，智力障碍研究杂志发表了29篇文章，英国学习障碍杂志发表了17篇文章。标题为“COVID-19与智力障碍人士：疫情的影响”的文章被引用次数最多，共计144次。英国发表了最多出版物，并与美国、加拿大和澳大利亚保持着紧密的合作关系。最受欢迎的关键词包括心理健康、自闭症、发展性障碍和封锁。主题地图分析确定了几个可能的聚类，包括远程医疗、体育活动和心理健康。结论本研究为该研究领域提供了更深入的理解，并可能帮助临床医生、研究人员和利益相关者获得更全面的智力障碍与COVID-19的视角。从这一分析中获得的见解可以为未来的研究提供信息。