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citations received in a given year to publications published in the previous three years divided by the
              sum of publications in the same previous three years. CiteScore is calculated for the current year on a
              monthly basis until it is fixed as a permanent value in May the following year, permitting a real-time
              view on how the metric builds as citations accrue. Once fixed, the other CiteScore metrics are also
              computed and contextualize this score with rankings and other indicators to allow comparison.



              Metrics: g-index, h-index, i10-index

              g-index

              The  g-index  was  proposed  by  Leo  Egghe;  g-index  is  calculated  this  way:  “[Given  a  set  of  articles]
              ranked in decreasing order of the number of citations that they received, the g-index is the (unique)
              largest number such that the top g articles received (together) at least g^2 citations.” It accounts for the
              performance of author’s top articles and helps to make more apparent the difference between authors’
              respective  impacts.    The  inflated  values  of  g-index  help  to  give  credit  to  lowly-cited  or  non-cited
              papers while giving credit for highly-cited papers.



              h-index

              Another author-level metric, the h-index (and some of its numerous variants) has come to be applied
              to higher-order aggregations of research publications, including journals. A composite of productivity
              and  citation  impact,  h-index  is  defined  as  the  greatest  number  of  publications  h  for  which  the
              count of lifetime citations is greater than or equal to h. Being bound at the upper limit only by total
              productivity, h-index favours older and more productive authors and journals. As h-index can only
              ever rise, it is also insensitive to recent changes in performance. Finally, the ease of increasing h-index
              does not scale linearly: an author with an h-index of 2 needs only publish a third paper and have all
              three of them cited at least three times to rise to an h-index of 3; an author with an h-index of 44 must
              publish a 45th paper and have it and all the others attain 45 citations each before progressing to an
              h-index of 45. h-index is therefore of limited usefulness to distinguish between authors, since most
              have single-digit h-indexes.


              i10-index


              The i10-index is the newest in the line of journal metrics and was introduced by Google Scholar in
              2011.  It is a simple and straightforward indexing measure found by tallying a journal’s total number
                   1
              of published papers with at least 10 citations.
              Research metrics are sometimes controversial, especially when in popular use they become proxies
              for multidimensional concepts such as research quality or impact. Each metric may offer a different
              emphasis based on its underlying data source, method of calculation, or context of use. In this context,
              use  of  multiple  complementary  metrics  can  help  to  provide  a  more  complete  picture  and  reflect
              different aspects of research productivity and impact in the final assessment.


              Endnote

              1  Google  Scholar  Blog.  2011.  https://scholar.googleblog.com/2011/11/google-scholar-citations-open-
              to-all.html.







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