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The most-cited paper in history is a paper by Oliver Lowry describing an assay to measure the concentration of proteins. [13] By 2014 it had accumulated more than 305,000 citations. The 10 most cited papers all had more than 40,000 citations. [14] To reach the top-100 papers required 12,119 citations by 2014. [14]
Quantitative data were drawn from Science Citation Index (SCI) and Social Sciences Citation Index (SSCI). The data were normalized by faculty number to account for different institution sizes. The indicators used in this methodology highly emphasized research quality (80% of the performance score) and short-term research performance (55% of the ...
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]
Yearly citation c(t) for a research paper from the e Physical Review corpus. Citation dynamics describes the number of references received by the article or other scientific work over time . The citation dynamics is usually described by the bang, that take place two–three years after the work has been published, and the burst size spans ...
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]
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).
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The tool scite.ai tracks and links citations of papers as 'Supporting', 'Mentioning', or 'Contrasting' the study, differentiating between these contexts of citations to some degree which may be useful for evaluation/metrics and e.g. discovering studies or statements contrasting statements within a specific study.
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