首页 | 本学科首页   官方微博 | 高级检索  
     检索      

国际健康信息研究主题的演化路径分析
引用本文:刘艳华,华薇娜,钱爱兵.国际健康信息研究主题的演化路径分析[J].现代情报,2018,38(7):135-141.
作者姓名:刘艳华  华薇娜  钱爱兵
作者单位:1. 南京中医药大学卫生经济管理学院, 江苏 南京 210023;2. 南京大学信息管理学院, 江苏 南京 210093
基金项目:国家社会科学基金项目"古代中国医学文献的知识标注与知识挖掘研究"(项目编号:17BTQ060)。
摘    要:基于WoS核心集检索健康信息领域研究性文献4 023篇,以关键词为分析单元,共词分析和聚类分析为方法,SciMAT为工具,识别不同时期的研究主题及其演化路径。研究发现国际健康信息的研究始于1923年,早期发展迟缓、主题少、热度低;后期呈多样化发展。各时期研究主题变化大,演化关系复杂,在两个研究方向上呈现4条演化路径:健康信息查询和健康素养是主要知识脉络,将持续成为研究热点;公共健康和健康信息技术早期受关注程度低,演化过程不稳定,2008年后受关注程度升高,研究地位上升,成为研究热点和有发展潜力的基础研究方向。

关 键 词:健康信息  主题演化  共词分析  聚类分析  SciMAT  

Analysis of Themes Evolutions of International Research Papers on Health Information
Authors:Liu Yanhua  Hua Weina  Qian Aibing
Institution:1. School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing 210023, China;2. School of Information Management, Nanjing University, Nanjing 210093, China
Abstract:Based on WoS,the paper collected a total of 4023 research papers related to health information.By selecting keywords as the units of analysis,co-word analysis and cluster analysis as methods,SciMAT as the knowledge mapping tool,this paper identified research topics and their evolution paths in different periods.Research demonstrated that the study of international health information began in 1923,with slow development,a few research topics and less attention in the early stage.Then the research turned to diversification.Research topics changed greatly in the different periods and evolutionary relationships were complex.Research also revealed four evolution paths on two different research directions.Evolution paths of health information seeking and health literacy were important and would continue to be hot topics.Evolution paths of public health and health information technology received less attention with unstable evolutionary processes in the early stage.After 2008,topics of the two paths received widespread attention and high research status,which became research hotspots and the basic research direction with development potential.
Keywords:health information  theme evolution  co-word analysis  cluster analysis  SciMAT  
点击此处可从《现代情报》浏览原始摘要信息
点击此处可从《现代情报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号