Eigenfactor: Does the Principle of Repeated Improvement Result in Better Estimates than Raw Citation Counts?

被引:100
作者
Davis, Philip M. [1 ]
机构
[1] Cornell Univ, Dept Commun, Ithaca, NY 14853 USA
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2008年 / 59卷 / 13期
关键词
D O I
10.1002/asi.20943
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Eigenfactor.org, a journal evaluation tool that uses an iterative algorithm to weight citations (similar to the PageRank algorithm used for Google), has been proposed as a more valid method for calculating the impact of journals. The purpose of this brief communication is to investigate whether the principle of repeated improvement provides different rankings of journals than does a simple unweighted citation count (the method used by the Institute for Scientific Information@ [ISI]).
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页码:2186 / 2188
页数:3
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