期刊文献+

基于NEViewer的医学科研主题演化可视化分析 被引量:9

NEViewer-based visual analysis of medical scientific research topics evolution
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摘要 获取22种学报类医学期刊2005-2013年文献的题录信息,建立高频词的共词网络,利用网络演化可视化分析软件NEViewer对医学科研主题进行演化分析,发现我国医学科研集中在基础研究与应用研究层面,多发病病种(如糖尿病、肿瘤等)的防治研究及技术方法的研究是两大主流方向,医学科研主题将在较长时期内保持稳定发展状态,最后对热点医学主题进行了阐释。 A co-words network for high frequency words was established using the title information of papers pub-lished in 22 medical journals from 2005 to 2013.The evolution of medical scientific research topics was analyzed with the visual analysis software NEViewer, which showed that medical research in China was focused on basic and application studies with the prevention and treatment of frequently encountered diseases and the associated technical methods as the two main directions, and that medical scientific research topics would remain their stable status in a rather long period.The hot medical topics were explained.
出处 《中华医学图书情报杂志》 CAS 2014年第10期56-60,共5页 Chinese Journal of Medical Library and Information Science
基金 国家社科基金重大项目"基于语义的馆藏资源深度聚合与可视化展示研究"(11&ZD152)之"语义化馆藏资源深度聚合知识服务研究"
关键词 共词网络 医学主题 可视化分析 学报 NEViewer Co-words network NEViewer Medical headings Visual analysis Academic journal
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