首页> 外文期刊>Journal of Information Science >Is citation normalization realistic?
【24h】

Is citation normalization realistic?

机译:引文归一化现实吗?

获取原文
获取原文并翻译 | 示例
           

摘要

One method for assessing quality of research outputs across different technical disciplines is comparing citations received by the research output documents. However, cross-discipline citation comparison studies require discipline normalization, in order to eliminate discipline differences in cultural citation practices and discipline differences in the number of active researchers available to cite. The 'definition' of, and number of documents used to represent, a discipline become critical. This study attempted to determine whether the citation characteristics (average, median) of a discipline's domain stabilized as the domain's size was decreased. A sample of papers (classified as research articles only, not review articles, by the Institute for Scientific Information) published in the journal Oncogene in 1999 was clustered hierarchically, and the citation averages and medians were computed for each cluster at different cluster hierarchical levels. The citation characteristics became increasingly stratified as the clusters were reduced in size, raising serious questions about the credibility of a selected denominator for normalization studies. An interesting side result occurred when all the retrieved articles were sorted by number of citations. Thirteen of the fifty most highly cited research articles had 100 or more references, whereas zero of the fifty least cited research articles had 100 or more references.
机译:评估不同技术学科的研究成果质量的一种方法是比较研究成果文档收到的引用。但是,跨学科的引文比较研究需要学科规范化,以消除文化引文实践中的学科差异和可供引用的活跃研究人员数量方面的学科差异。学科的“定义”和用来表示学科的文档数量变得至关重要。这项研究试图确定学科领域的引文特征(平均值,中位数)是否随着域大小的减小而稳定。将1999年发表在《癌基因》杂志上的论文样本(仅由科研信息研究所分类为研究性文章,而不是评论性文章)进行分层聚类,并在不同聚类层次上计算每个聚类的引文平均值和中位数。随着簇的大小减小,引文特征变得越来越分层,这对用于标准化研究的所选分母的可信度提出了严峻的问题。当所有检索到的文章均按引用次数排序时,发生了一个有趣的副作用。在被引用次数最多的五十篇研究文章中,有十三篇引用了100篇或更多,而在引用最少的五十篇研究文章中,有零篇引用了100篇以上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号