基于共词分析的国内罕见病研究热点分析  

Research hotspots on national rare diseases based on co-word analysis

作　　者：王春鹏[1] 刘永林[1] 张晔[1] 刘文艳[1] 李屹[1] 李媛[1] 冯瑶[1] 周郦楠[1] 

机构地区：[1]辽宁省基础医学研究所,辽宁沈阳110101

出　　处：《中国预防医学杂志》2017年第1期20-23,共4页Chinese Preventive Medicine

基　　金：辽宁省科学事业公益研究基金项目(2014001006)

摘　　要：目的通过关键词共词分析揭示我国罕见病研究主题结构及热点研究领域。方法检索CNKI数据库,收集2005-2015年国内发表的有关罕见病研究的文献,导出题录,用Bibexcel软件生成高频关键词共词矩阵,用SPSS 19.0进行聚类分析和多维尺度分析。结果获取有效题录1 458条,筛选出30个高频关键词,聚类分析显示近来年罕见病的研究主题可以划分为4个类别。结论我国罕见病研究主题明确,热点研究领域范围有限。Objective To reveal the theme structure and hot research field of rare diseases in china by co word analysis of keywords. Methods Literatures about rare diseases were searched in CNKI database from 2005 to 2015. Bibliographies were exported and high frequency keywords co-word matrix was created using Bibexcel software. Cluster analysis and multidimensional scaling analysis using SPSS 19.0 software were conducted. Results A total of 1 458 effective bibliographies were obtained and 30 high frequency keywords were screened out, clustering analysis showed that research thcmes in the field of rare diseases in reeent years eould be divid- ed into four categories. Conclusions Chinese rare disease research field is clear, but with limited research hotspots.

关 键 词：罕见病 共词矩阵 聚类分析 多维尺度分析 

分 类 号：R597[医药卫生—内科学]