Eigenfactor Score and Motion Charts
Eigenfactor Score
The Eigenfactor came out of the Metrics Eigenfactor Project in 2008, a bibliometric research project conducted by Professor Carl Bergstrom and his laboratory at University of Washington.
The Eigenfactor score provides a measure of journal importance.
With all else equal, a journal's Eigenfactor score doubles when it doubles in size. Thus a very large journal such as the Journal of Biological Chemistry which publishes more than 6,000 articles annually, will have extremely high Eigenfactor scores simply based upon its size.
The Eigenfactor Score measures the number of times articles from the journal published in the past five years have been cited in the JCR year.
Like the Impact Factor, the Eigenfactor Score is essentially a ratio of number of citations to total number of articles. However, unlike the Impact Factor, the Eigenfactor Score:
- Counts citations to journals in both the sciences and social sciences
- Eliminates self-citations. Every reference from one article in a journal to another article from the same journal is discounted
- Weights each reference according to a stochastic measure of the amount of time researchers spend reading the journal
Eigenfactor scores are scaled so that the sum of the Eigenfactor scores of all journals listed in Thomson's Journal Citation Reports (JCR) is 100. In 2006, the journal Nature has the highest Eigenfactor score, with a score of 1.992. The top thousand journals, as ranked by Eigenfactor score, all haveEigenfactor scores above 0.01. (Eigenfactor FAQs)
The Eigenfactor uses Thomson Reuters (ISI Web of Knowledge) citation data.
Eigenfactor Motion Charts
Motion charts graphically represent the numerical data from Eigenfactor metrics and Thomsom Reuters WoS.
Motion charts can be adjusted by article influence, Eigenfactor, total articles, total citations, and others. They can be changed into line charts or graphs.
Economics — Changes in the Eigenfactor for Top 25 Journals Through a Time Period of 10 Years
Interactive Eigenfactor Metrics Visualization
Visualising Information Flow
Interactive visualizations based on the Eigenfactor® Metrics and hierarchical clustering to explore emerging patterns in citation networks.
A cooperation between the Eigenfactor Project (data analysis) and Moritz Stefaner (visualization).
Citation Patterns
Change Over Time
Clustering
Map
Mapping Disciple Relationships
Scholarly Journal Resources
Links for Scholars
Journal Quality List — The Journal Quality List is a collation of journal rankings from a variety of sources
Journal Ranking — Journal-ranking.com allows users to configure their ranking interests, as well as provide a more reasonable method to evaluate a journal’s impact
Journal Impact Factor — A Journal Impact Factor is a multidisciplinary tool for ranking, evaluating, and comparing journals within subject categories
Cabells Scholarly Analytics
Make the best publishing decision by using Cabells to avoid deceptive practices and select the best journal for your needs. View the submission info, peer review policies, and fees, for over 11,000 top global academic publications. Includes metrics.
Scopus
Access abstracts and indexed bibliometric data for thousands of journal titles and millions of author profiles. Use sophisticated alt-metric tools to track the impact of your research.
Web of Science
Access abstracts and indexed bibliometric data for thousands of journals and millions of author profiles. Use altmetric analytical tools to track the impact of your research.
