Journal-level metric; by Clarivate Analytics - Web of Science.
Impact factor Number of citations of all articles in Journal X in previous 2 years/Total number of
articles published in the previous 2 years
Pro: Proxy for journal quality and organizing journal options by tier
Cons:
1. It's an arithmetic mean and doesn't adjust for distribution of citations
What are pros and cons of impact factor?
2. Does not distinguish type of article (study, review, editorial)
3. Only analyzes number of citations, not the individual nature or quality of a study
4. Can't compare between areas
5. significant variation year by year
Journal-level metric; Web of Science.
Number of times articles from the journal published in the past five years have been
cited in the calculation year.
It also considers which journals have contributed these citations, so that highly cited
journals will influence the network more than lesser cited journals.
Eigenfactor Score
References from one article in a journal to another article from the same journal are
removed, so that Eigenfactor Scores are not influenced by journal self-citation.
Eigenfactor assigns journals to a single category, making it more difficult to compare
across disciplines.
Article-level metric.
The mean Article Influence Score is 1.00. An Article Influence Score greater than 1.00
indicates that the articles in a journal have an above-average influence.
Article Influence Score
Calculated by dividing the Eigenfactor Score by the number of articles published in
the journal over the previous 5 years.
Number of citations received in one year to content published in Journal X during the
Calculate impact factor two previous years, divided by the total number of articles and reviews published in
Journal X within the previous two years.
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