基于共词分析的国内生物信息学热点领域研究

宋茂海^1,2,李东方²

( 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 )



摘要:

利用共词分析和可视化方法对生物信息学的

关键词:  文献计量学  共词分析  聚类分析  数据挖掘

DOI：10.3969/j.issn.1672-5565.2014-01.20140108

分类号:G350; R857

基金项目:



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

SONG Maohai^1,2, LI Dongfang²

(1. Department of bioinformatics, the Second Military Medical University, Shanghai 200433; 2. Department of computer Science, the Second Military Medical University, Shanghai 200433)

Abstract:

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.

Key words:  Bibliometrics  Co-word analysis  Cluster analysis  Data mining