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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.
Scopus is a scientific abstract and citation database, launched by the academic publisher Elsevier as a competitor to older Web of Science in 2004. [1] An ensuing competition between the two databases has been characterized as "intense" and is considered to significantly benefit their users in terms of continuous improvent in coverage, search/analysis capabilities, but not in price.
A journal's SJR indicator is a numeric value representing the average number of weighted citations received during a selected year per document published in that journal during the previous three years, as indexed by Scopus. Higher SJR indicator values are meant to indicate greater journal prestige.
Correlating Libcitations and Citations in the Humanities with WorldCat and Scopus Data. In A. A. Salah, Y. Tonta, A. A. Akdag Salah, C. Sugimoto, & U. Al (Eds.), Proceedings of the 15th International Society for Scientometrics and Informetrics (ISSI), Istanbul, Turkey, 29 June to 4 July 2015.
Top quartile citation count (TQCC) – reflecting the number of citations accrued by the paper that resides at the top quartile (the 75th percentile) of a journal's articles when sorted by citation counts; for example, when a journal published 100 papers, the 25th most-cited paper's citation count is the TQCC. [5]
Scopus is the world's largest abstract and citation database of peer-reviewed research literature. It contains over 20,500 titles from more than 5,000 international publishers. While it is a subscription product, authors can review and update their profiles via ORCID.org or by first searching for their profile at the free Scopus author lookup page.
Field-weighted Citation Impact (FWCI) by Scopus divides the total citations by the average number of citations for an article in the scientific field. [ 2 ] Alternative article-level metrics include the CD index, a measure of the disruptiveness of an article.
The three quartiles, resulting in four data divisions, are as follows: The first quartile (Q 1) is defined as the 25th percentile where lowest 25% data is below this point. It is also known as the lower quartile. The second quartile (Q 2) is the median of a data set; thus 50% of the data lies below this point.