2010-2015年基于社交网络的医学SCI论文主题词聚类-中国数字医学.PDFVIP

信息化论坛 Information Forum 拜耳医药保健有限公司支持——利用信息技术改进医疗服务 2010-2015年基于社交网络的 医学SCI论文主题词聚类分析 张志常① 娄岩① 摘 要 目的：检索基于电子病历的SCI论文，分析当前该主题的相关研究方向。方法：对Web of ScienceTM核心合集数据库 中发表的基于电子病历SCI论文进行分析，下载文献主题词并统计其出现的频次，截取频次大于24次的主题词作为高频关键 词。统计高频主题词在同一文献中的出现频率，并生成共现矩阵，使用SPSS对矩阵进行聚类分析，通过对各类文献内容的分 析获得该主题的研究热点。结果：检出2010年至今的医学SCI论文670篇，出现频次大于25次的主题词12个，通过对这12个高 频关键词聚类得到六个主要研究热点。结论：近年来基于社交网络的医学SCI论文主要研究方向是：社交网络为医疗卫生提供 的信息支持研究；医疗健康社交网络应用研究；社交网络与医疗保健护理教育研究；与儿童有关的社交网络医学研究；社交 网络在医疗健康领域中的应用效果分析；医学生使用社交网络的风险研究。 关键词　社交网络 共现矩阵 聚类分析 Doi:10.3969/j.issn.1673-7571.2016.05.011 [中图分类号] R-05 [文献标识码] A Cluster Analysis on Topics of Medical SCI Article Based on Social Network from 2010 to 2015 / ZHANG Zhi-chang, LOU Yan// China Digital Medicine.-2016 11(5): 37 to 40 Abstract Objective: To present the hot topics on research by analyzing related literatures. Methods: SCI Article related to were searched in Web of ScienceTM database, the medical subject headings (MeSH) of these articles were downloaded and their appearing frequencies were counted. The MeSH terms with appearing frequencies over 24 times were intercepted as high- frequencies descriptors. The frequencies of these descriptors in the same article were calculated to form a word co-occurrence matrix. Clustering was done on the matrix by SPSS software. The research focus on the topic was obtained by analyzing the contents of various literatures. Results: A total of 670 articles related to Social Network & medical were searched out. Twelve descriptors appeared over 24 times. Six focal researches were obtained by clustering the 12 high-frequency descriptors．Conclusions: The focal researches abroad on Social Network & medical are mainly focused