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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 .
In any given year, the CiteScore of a journal is the number of citations, received in that year and in previous three years, for documents published in the journal during the total period (four years), divided by the total number of published documents (articles, reviews, conference papers, book chapters, and data papers) in the journal during the same four-year period: [3]
Journal Citation Reports (JCR) is an annual publication by Clarivate. [1] It has been integrated with the Web of Science and is accessed from the Web of Science Core Collection . It provides information about academic journals in the natural and social sciences , including impact factors .
The SJR indicator is a free journal metric inspired by, and using an algorithm similar to, PageRank. The SJR indicator computation is carried out using an iterative algorithm that distributes prestige values among the journals until a steady-state solution is reached.
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).
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]
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The composite index or composite indicator (abbreviated as c-score) [1] [2] is a new numerical indicator that evaluates the quality of a scientist's research publications, regardless of the scientific field in which he/she operates.