期刊文献+

Google Scholar和CCD的引文统计分析功能比较——从期刊被引频次角度分析 被引量:18

Comparison of the Citations Statistic Analysis Functions between Google Scholar and CCD: Analysis Based on the Joural Citations
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摘要 期刊被引频次是期刊评价中一个重要的计量指标,不同的引文数据库在用于被引频次统计时所得到的结果各不相同,这种统计结果的差异必将对期刊的排名结果造成较大的影响。文章选取"图书馆、情报与文献学"排名前10位的期刊,分别在Google Scholar和CCD(中国引文数据库)中以期刊名为主题词进行精确检索,统计各个期刊在2007-2008两年间所刊载的论文的被引频次。通过统计结果的对比分析,我们认为CNKI是目前比较理想的中文期刊引文统计工具,而Google Scholar却在一定程度上代表着未来引文数据库的发展方向。 Journal Citation is an important index in the journals evaluation. Different citations databases al- ways give different retrieval results. Such difference of citations statistic certainly has considerable influence on the journals evaluation. In this paper, the top 10 journals in the field of "Library, Information and Documentation sci- ence" were selected as research subjects. Then we searched each journal' s citations during 2007 -2008 from Google Scholar and CCD ( Chinese Citation Database). Based on the comparison of their results, it was found that presently CCD is much better than the Google Scholar for Chinese journals citations statistic but Google Scholar may represent the development trend of citation databases.
出处 《重庆大学学报(社会科学版)》 CSSCI 北大核心 2011年第6期84-89,共6页 Journal of Chongqing University(Social Science Edition)
基金 国家自然科学基金项目"基于作者学术关系的知识交流模式与规律研究"
关键词 引文数据库 期刊评价 被引频次 引文分析 citations database journals evaluation citations citations analysis
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