What are journal-level metrics? Why track at this level?
Journal-level metrics measure the impact, reach, or prestige of a journal. Journal-level metrics are designed to measure the aggregate impact of publication as a whole and should not be used as proxy metrics for authors who publish in a particular journal.
Examples of journal metrics
Web of Knowledge
Google Scholar records citation data and metrics at the article, author, and journal level. The primary journal-level metric that Google Scholar reports is the h5-index (a variation on the h-index using publications from the last five years only). Google Scholar Metrics ranks top publications by h5-index within selected language and field.
|Impact Factor||Additional JCR Metrics||Acceptance Rate||H-index|
|What does it measure?||How frequently recent articles in a journal are cited||A variety of metrics based on Web of Science Citation Data||A journal's selectivity||A journal's influence that accounts for productivity and impact (also used for author-level metrics)|
|How is it calculated?||The number of citations received in the current year by articles published in the last two years divided by the citable articles published in the past two years||See the Additional JCR Metrics page for details on each metric||The percentage of submitted articles a journal accepts for publication||Publications are listed by number of citations in descending order. The value h is equal to the number of h papers that have h or more citations.|
|Where do I get it?||Journal Citation Reports||Journal Citation Reports||MLA Directory of Periodicals and APA Journal Statistics and Operations Data||Google Scholar, Web of Science (Note: Do not compare h-indexes derived from different sources.)|