版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Mitre Corp Mclean VA 22102 USA Ctr Dis Control Natl Ctr Infect Dis Bioterrorism Preparedness & Response Program Atlanta GA 30333 USA
出 版 物:《SCIENTOMETRICS》 (科学计量学)
年 卷 期:2011年第86卷第1期
页 面:195-209页
核心收录:
学科分类:1205[管理学-图书情报与档案管理] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Severe acute respiratory syndrome (SARS) Coronavirus Infectious diseases Text mining Bibliometrics Citation analysis
摘 要:Text mining was used to extract technical intelligence from the open source global SARS research literature. A SARS-focused query was applied to the Science Citation Index (SCI) (SCI 2008) database for the period 1998-early 2008. The SARS research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents) was obtained using bibliometrics, and the SARS research literature technical structure (hierarchical taxonomy) was obtained using computational linguistics/document clustering.