Ten good reasons to use the Eigenfactor™ metrics
Information Processing & Management, ISSN: 0306-4573, Vol: 46, Issue: 5, Page: 555-558
2010
- 32Citations
- 79Captures
- 1Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
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.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0306457310000075; http://dx.doi.org/10.1016/j.ipm.2010.01.001; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77954068178&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0306457310000075; https://api.elsevier.com/content/article/PII:S0306457310000075?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0306457310000075?httpAccept=text/plain; https://dx.doi.org/10.1016/j.ipm.2010.01.001
Elsevier BV
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