Eigenfactor : Does the Principle of Repeated Improvement Result in Better Journal Impact Estimates than Raw Citation Counts?
Digital Libraries
2009-09-29 v3 Databases
Abstract
Eigenfactor.org, a journal evaluation tool which 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 ISI).
Cite
@article{arxiv.0807.2678,
title = {Eigenfactor : Does the Principle of Repeated Improvement Result in Better Journal Impact Estimates than Raw Citation Counts?},
author = {Philip M. Davis},
journal= {arXiv preprint arXiv:0807.2678},
year = {2009}
}
Comments
bibliographic information corrected