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  2. Article-level metrics - Wikipedia

    en.wikipedia.org/wiki/Article-level_metrics

    Article-level metrics are citation metrics which measure the usage and impact of individual scholarly articles. The most common article-level citation metric is the number of citations. [ 1 ] Field-weighted Citation Impact (FWCI) by Scopus divides the total citations by the average number of citations for an article in the scientific field .

  3. Citation impact - Wikipedia

    en.wikipedia.org/wiki/Citation_impact

    The simplest journal-level metric is the journal impact factor, the average number of citations that articles published by a journal in the previous two years have received in the current year, as calculated by Clarivate. Other companies report similar metrics, such as the CiteScore, based on Scopus.

  4. Author-level metrics - Wikipedia

    en.wikipedia.org/wiki/Author-level_metrics

    Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles).

  5. CiteScore - Wikipedia

    en.wikipedia.org/wiki/CiteScore

    CiteScore (CS) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal. It is produced by Elsevier, based on the citations recorded in the Scopus database. Absolute rankings and percentile ranks are also reported for each journal in a given subject area. [1]

  6. h-index - Wikipedia

    en.wikipedia.org/wiki/H-index

    The h-index is an author-level metric that measures both the productivity and citation impact of the publications, initially used for an individual scientist or scholar. The h-index correlates with success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities. [1]

  7. Eigenfactor - Wikipedia

    en.wikipedia.org/wiki/Eigenfactor

    The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. [1] Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. [2]

  8. Impact factor - Wikipedia

    en.wikipedia.org/wiki/Impact_factor

    Additional journal-level metrics are available from other organizations. For example, CiteScore is a metric for serial titles in Scopus launched in December 2016 by Elsevier. [102] [103] While these metrics apply only to journals, there are also author-level metrics, such as the h-index, that apply to individual researchers.

  9. Altmetrics - Wikipedia

    en.wikipedia.org/wiki/Altmetrics

    One of the first alternative metrics to be used was the number of views of a paper. Traditionally, an author would wish to publish in a journal with a high subscription rate, so many people would have access to the research. With the introduction of web technologies it became possible to actually count how often a single paper was looked at.

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