基于共词分析的国内生物信息学热点领域研究  

Hot spots analysis of China's bioinformatics based on co-word analysis method

作　　者：宋茂海[1,2] 李东方[2] 

机构地区：[1]第二军医大学基础部生物信息学教研室,上海200433 [2]第二军医大学基础部计算机教研室,上海200433

出　　处：《生物信息学》2014年第1期46-52,共7页Chinese Journal of Bioinformatics

摘　　要：利用共词分析和可视化方法对生物信息学的关键词进行聚类分析,探讨该研究领域的学科分类和热点内容.以中国知网、中华医学会数据库中期刊论文为统计来源,对1998～2013年间的5 707篇生物信息学相关文献进行计量分析,提取出40个高频关键词.利用ROST软件得到关键词共词矩阵,在此基础上利用SPSS进行因子分析、聚类分析和多维尺度分析.结合因子分析和聚类分析将生物信息学领域主要研究内容分为7类,结合多维尺度分析对研究热点及变化趋势进行了初步探讨.研究结果较为客观地反映了当前生物信息学领域的学科分类和研究热点,为科研人员进行生物信息学研究提供一些思路.Using co-word analysis and visual method, we clustered the key words of bioinformatics, and revealed the subject classification and hotspots of this subject. We got 5 707 bioinformatics related articles in the database of China National Knowledge Infrastructure （CNKI） and the Chinese medical association from 1998 to 2013.From these, we extracted 40 high frequency keywords. Based on these keywords, we established the co-word matrix using ROST software, and processed these data by factor analysis, clustering dendrogram, Multidimensional Scaling diagram using SPSS software. We divided the topics of bioinformatics research content into seven categories using factor analysis and cluster dendrogram. We also discussed the hotspots and tendency preliminarily using multidimensional scaling diagram. The results reflected the current subject classification and research hotspots objectively in the field of bioinformatics; our conclusions could provide a certain reference to scientific research community for bioinformatics.

关 键 词：文献计量学 共词分析 聚类分析 数据挖掘 

分 类 号：G350[文化科学—情报学] R857[医药卫生—航空、航天与航海医学]