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What we learn from the shifts in highly cited data from 2001 to 2014?

Li, J. T.

Scientometrics. VOL 108; NUMBER 1, ; 2016, 57-82 -- Springer Science + Business Media (pages 57-82) -- 2016

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  • Title:
    What we learn from the shifts in highly cited data from 2001 to 2014?
  • Author: Li, J. T.
  • Found In: Scientometrics. VOL 108; NUMBER 1, ; 2016, 57-82
  • Journal Title: Scientometrics.
  • Subjects: Mathematics; LCC: Q1; Dewey: 507
  • Publication Details: Springer Science + Business Media
  • Language: English
  • Abstract: Thomson Reuter’s highly cited database (HiCite) ( External Reference Not Shown ) is composed of the top researchers in several subspecialties belonging to the 22 essential science indicator fields of the web of science. By analyzing the data collected, we are able to calculate several correlations in the data based upon select areas, view trends of changes in rank, percentage of contribution, and countries, and re-rank the organizations by new standards. The purpose of this is to refocus and highlight previously unaccounted but significant details that are historically ignored, such as economics, specialties, nationality, efficiency, and field, and to evaluate performance of the separate organizations by multiple factors, with an emphasis on the status of the United States of America.
  • Identifier: Journal ISSN: 0138-9130
  • Publication Date: 2016
  • Physical Description: Physical
  • Accrual Information: Monthly
  • Shelfmark(s): 8205.080000
  • UIN: ETOCRN377755910

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