引用本文:李家琪,赵 捷,杨代庆.机构规范文档构建中机构筛选方法研究[J].中华医学图书情报杂志,2018,27(5):35-41.
机构规范文档构建中机构筛选方法研究
Screening methods of institutions in developing institutional authority files
DOI:10.3969/j.issn.1671-3982.2018.05.007
中文关键词:  机构规范  文献计量  数据筛选  模糊计算
英文关键词:Institutional authority  Bibliometrics  Data screening  Fuzzy computing
基金项目:国家社会科学基金项目“机构规范文档及构建方式研究” (15BTQ015)
作者单位
李家琪 中国科学技术信息研究所北京 100038 
赵 捷 中国科学技术信息研究所北京 100038 
杨代庆 中国科学技术信息研究所北京 100038 
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中文摘要:
      分析文献数据库中的机构数据,从大量机构数据中获取活跃度高、代表性强的机构,为机构规范文档的初步构建提供基础数据。将机构发文的稳定性和活跃度及机构的学科影响作为筛选机构的重要指标,并运用模糊计算构建模糊集合,确定筛选机构的隶属函数,设计机构的筛选方法。以近年的机构数据为例进行验证,筛选结果具有较好的全面性和代表性。
英文摘要:
      Active and representative institutions were selected from the massive institution data by analyzing the literature database-covered institutional data to provide the basic data for developing institutional authority files. The screening method of institutions was designed by using the stability and activity of papers published by different institutions and the scientific impact power of institutions as the key indexes, by establishing the fuzzy set to determine the function of institutions to be screened. The screening results with this method verified by the institutional data in recent years showed their good comprehensiveness and representativeness.
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