同被引聚类分析方法挖掘妇产科学研究热点的初步探讨  

Active research fields of gynecology and obstetrics: a document co-citation clustering analysis of literatures

作　　者：郑东颖 侯悦 乔宠[2] 

机构地区：[1]大连医科大学附属第二医院妇产科,116023 [2]中国医科大学附属盛京医院妇产科辽宁省母胎医学重点实验室辽宁省高校妇产科重点实验室,沈阳110004

出　　处：《中华生殖与避孕杂志》2017年第10期825-830,共6页Chinese Journal of Reproduction and Contraception

基　　金：国家自然科学基金（81370735）Fund program: National Natural Science Foundation of China(81370735)

摘　　要：目的从大量文献中挖掘妇产科研究热点。方法收集2016—2017年科学引文索引(SCI)妇产科领域高影响因子期刊全部文献共5 800篇,使用书目共现分析系统统计出高频被引论文38篇,形成被引用-引用矩阵,在聚类分析软件gCluto中进行高频被引论文的同被引聚类分析。结果可视化图像清晰显示目前国际妇产科领域五大研究热点。结论同被引聚类分析方法可从大量文献中有效挖掘出研究热点。Objective To explore active research fields of gynecology and obstetrics from a large amount of literatures. Methods Document co-citation clustering analysis method was used in this article. ISI web of knowledgeSCI-EXPANDED was used to retrieve all the 5 800 documents published in 2016-2017 from journals with higher impact factor. Then the occurrence of cited literatures was compared and ranked. A reference co-occurrence matrix of selected38 cited literatures can be created using Bibliographic Item Co-Occurrence Matrix Builder（BICOMB）. This cooccurrence matrix was then transformed into g Cluto（g Clu To-Graphical Clustering Toolkit） for further analysis within co-citation clusters. Results A co-occurrence matrix was formed based on these findings, and ultimately co-citation clustering indicators, i.e., information trees, data matrix were formed and provided direct visualization as hot spots on five active gynecology and obstetrics categories. Conclusion The active categories of gynecology and obstetrics research were identified by using the co-citation cluster analysis.

关 键 词：妇产科学 研究热点 高频被引论文 聚类分析 文献计量学分析 

分 类 号：G353.1[文化科学—情报学] R71[医药卫生—妇产科学]