博文
The Conceptual Structures and Thematic Trends of Health Literacy Research
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The Conceptual Structures and Thematic Trends of Health Literacy Research：A Multiple-Perspective of Document Co-Citation Analysis
Du Jian1, Xu Peiyang1, Zhang Shijing2
Du Jian, Xu Peiyang
Institute of Medical Information & Library
Chinese Academy of Medical Science & Peking Union Medical College
Beijing,China
e-mail:windowsdujian@163.com
xupeiyang@vip.163.com
Zhang Shijing
Department of Medical Informatics
Tongji Medical College of Huazhong University of Science and Technology
Wuhan,China
e-mail:zhangsj9999@163.com
Abstract—The conceptual structures and thematic trends of health literacy research(1995-2010) are identified using a multiple-perspective of document co-citation analysis method, namely, labeling co-citation clusters from both cited and citing items. Comparative analysis show that authors tend to choose broader-term labels when manually reading and analyzing cited references to a cluster, whereas algorithmically chosen terms from citing items tend to be more specific and narrowed. Combined with author co-citation analysis using WoS’ data, co-authorship analysis using data from PubMed and co-words analysis of both descriptors and Identifiers using CiteSpace, We discover that mental health literacy and functional health literacy are two separated research area in health literacy research and practice. And another two most active areas of research in recent years are also indentified.
Keywords-A multiple-perspective co-citation analysis; health literacy; cluster labels; conceptual structures; thematic trends
（全文待发表）
健康素养研究的概念结构和主题趋势：一种多视角文档共被引分析
The Conceptual Structures and Thematic Trends of Health Literacy Research：
A Multiple-Perspective of Document Co-Citation Analysis
研究思路主要来源于陈超美2010年刚刚在JASIST（Journal of the American Society for Information Science and Technology）上发表的一篇论文，引入了“多视角共被引分析”这一概念。由于之前的共被引分析在标识聚类的时候总是以高被引文献（cited items）为来源，而“ 多视角共被引分析 ”强调不仅以高被引文献为来源，还要同时考虑这一共被引聚类的施引文献（citing items to each cluster）。因为施引文献在更大程度上表针了研究前沿。以“健康素养”领域的文献为对象，同时应用这两种视角进行了聚类分析，并确定了类的标识（前者通过人工阅读、分析高被引文献，后者通过citespace软件自动生成，从施引文献的title中用LLR算法抽取），结果发现：两种视角得到的聚类标识基本上一致，但是后者往往比前者更具体，更细化，这一点和陈超美的研究结论相一致。在研究健康素养这一领域的概念结构的时候，发现精神健康素养和功能性健康素养是两大相独立的研究领域。
https://blog.sciencenet.cn/blog-280034-355592.html
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