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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 050, 42 pp.
DOI: https://doi.org/10.20948/prepr-2020-50
(Mi ipmp2841)
 

This article is cited in 5 scientific papers (total in 5 papers)

The opportunities of web-analysis to estimate the effectiveness of scientific publications

Yu. G. Revyakin
References:
Abstract: The work is devoted to the use of web-analytics methods for evaluation the effectiveness of scientific publications on the Internet. A general idea of the methods for collecting and analyzing data used in web analytics is given, a comparative overview of the most popular software solutions is presented. The issues of using web analytics methods for websites of scientific organizations are discussed. On the example of the IPM RAS website, practical issues of building a web analytics system based on the analysis of log file data are considered. The problem of filtering requests from robots to correctly determine the attendance metrics of scientific Internet resources is discussed.
Keywords: web analytics, scientific publication, filtering requests, log-file analysis, web-site statistics.
Document Type: Preprint
Language: Russian
Citation: Yu. G. Revyakin, “The opportunities of web-analysis to estimate the effectiveness of scientific publications”, Keldysh Institute preprints, 2020, 050, 42 pp.
Citation in format AMSBIB
\Bibitem{Rev20}
\by Yu.~G.~Revyakin
\paper The opportunities of web-analysis to estimate the effectiveness of scientific publications
\jour Keldysh Institute preprints
\yr 2020
\papernumber 050
\totalpages 42
\mathnet{http://mi.mathnet.ru/ipmp2841}
\crossref{https://doi.org/10.20948/prepr-2020-50}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2841
  • https://www.mathnet.ru/eng/ipmp/y2020/p50
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:68
    Full-text PDF :12
    References:9
     
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