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Exploring the topic structure and evolutionary trends of health informatics research in library and information science

发布时间:2023-03-01 来源:emerald

作者:Peilin Tiana; Le Wanga,b

作者单位:

a: The Literature and Information Center, Fudan University, Shanghai, China

b: National Experiment Base for Intelligent Evaluation and Governance, Fudan University, Shanghai, China

摘要:PurposeThis study aims to reveal the topic structure and evolutionary trends of health informatics research in library and information science.Design/methodology/approachUsing publications in Web of Science core collection, this study combines informetrics and content analysis to reveal the topic structure and evolutionary trends of health informatics research in library and information science. The analyses are conducted by Pajek, VOSviewer and Gephi.FindingsThe health informatics research in library and information science can be divided into five subcommunities: health information needs and seeking behavior, application of bibliometrics in medicine, health information literacy, health information in social media and electronic health records. Research on health information literacy and health information in social media is the core of research. Most topics had a clear and continuous evolutionary venation. In the future, health information literacy and health information in social media will tend to be the mainstream. There is room for systematic development of research on health information needs and seeking behavior.Originality/valueTo the best of the authors’ knowledge, this is the first study to analyze the topic structure and evolutionary trends of health informatics research based on the perspective of library and information science. This study helps identify the concerns and contributions of library and information science to health informatics research and provides compelling evidence for researchers to understand the current state of research.

关键词:Library and information science; Health informatics; Topic structure; Evolutionary trends; Informetrics; Content analysis; Medical informatics

来源期刊:The Electronic Library

发表时间:2023-03-01

DOI:https://doi.org/10.1108/EL-01-2023-0010

收录数据库:emerald

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