Paper Info
Title
Ten good reasons to use the EigenfactorTM metrics
Abstract
The Eigenfactor score is a journal influence metric developed at the Department of Biology of the University of Washington and recently introduced in the Science and Social Science Journal Citation Reports maintained by Thomson Reuters. It provides a compelling measure of journal status with solid mathematical background, sound axiomatic foundation, intriguing stochastic interpretation, and many interesting relationships to other ranking measures. In this short contribution, we give 10 reasons to motivate the use of the Eigenfactor method.
Year
DOI
Venue
2010
10.1016/j.ipm.2010.01.001
Inf. Process. Manage.
Keywords
Field
DocType
interesting relationship,thomson reuters,social science journal citation,compelling measure,journal status,eigenfactor score,intriguing stochastic interpretation,good reason,ranking measure,journal influence measures,journal influence,eigenfactortm metrics,eigenfactor method,eigenfactor metrics,impact factor
Data mining,Ranking,Information retrieval,Axiom,Computer science,Citation,Eigenfactor,Stochastic interpretation,Impact factor
Journal
Volume
Issue
ISSN
46
5
Information Processing and Management
Citations 
PageRank 
References 
8
0.61
15
Authors
1
Name
Order
Citations
PageRank
Massimo Franceschet165839.91