Suppr超能文献

关于使用相对指标比较不同学科引文表现的公平性

On the fairness of using relative indicators for comparing citation performance in different disciplines.

作者信息

Castellano Claudio, Radicchi Filippo

机构信息

SMC, INFM-CNR and Dipartimento di Fisica, Sapienza Universitá di Roma, Piazzale A. Moro 2, Rome, Italy.

出版信息

Arch Immunol Ther Exp (Warsz). 2009 Mar-Apr;57(2):85-90. doi: 10.1007/s00005-009-0014-0. Epub 2009 Mar 31.

Abstract

Relative indicators are commonly used to remove biases due to different citation practices in various scientific fields. Here we extend our recent investigation on the viability of the use of relative indicators for comparing article impact in different disciplines. We consider citation distributions for papers published in 14 of the 172 disciplines categorized by the Journal Citation Reports. The distribution of the number of citations received by publications in a certain discipline divided by the average number for the discipline is a universal function. Based on it, we compute the relative number of citations needed to be among the q percent most-cited publications in a discipline. The effect of finite samples is also discussed. The average number of citations is shown to be strongly correlated with the impact factor, but fluctuations are quite large. A similar universal distribution is found (with exceptions) when citation distributions restricted to papers published in a single journal are considered.

摘要

相对指标通常用于消除因各科学领域不同引用习惯而产生产生消除偏差。在此,我们扩展了近期关于使用相对指标比较不同学科文章影响力可行性的研究。我们考虑了《期刊引证报告》分类的172个学科中14个学科发表论文的引用分布情况。某一学科出版物获得的引用次数除以该学科平均引用次数的分布是一个通用函数。基于此,我们计算了在某一学科中处于被引用最多的q%出版物之列所需的相对引用次数。同时也讨论了有限样本的影响。结果表明,平均引用次数与影响因子密切相关,但波动相当大。当考虑仅限于在单一期刊上发表论文的引用分布时,也发现了类似的通用分布(有例外情况)。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验