Data Mining in Scientometrics: Usage Analysis for Academic Publications

Olesya Mryglod, Yurij Holovatch, Ralph Kenna

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)

Abstract

We perform a statistical analysis of scientific-publication data with a goal to provide quantitative analysis of scientific process. Such an investigation belongs to the newly established field of scientometrics: A branch of the general science of science that covers all quantitative methods to analyze science and research process. As a case study we consider download and citation statistics of the journal 'Europhysics Letters' (EPL), as Europe's flagship letters journal of broad interest to the physics community. While citations are usually considered as an indicator of academic impact, downloads reflect rather the level of attractiveness or popularity of a publication. We discuss peculiarities of both processes and correlations between them.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-246
Number of pages6
ISBN (Electronic)9781538628744
DOIs
Publication statusPublished - 1 Oct 2018
Event2nd IEEE International Conference on Data Stream Mining and Processing - Lviv, Ukraine
Duration: 21 Aug 201825 Aug 2018
Conference number: 2

Publication series

NameProceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018

Conference

Conference2nd IEEE International Conference on Data Stream Mining and Processing
Abbreviated titleDSMP 2018
CountryUkraine
CityLviv
Period21/08/1825/08/18

Keywords

  • citation analysis
  • data analysis
  • scientometrics
  • usage metrics

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Information Systems and Management

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  • Cite this

    Mryglod, O., Holovatch, Y., & Kenna, R. (2018). Data Mining in Scientometrics: Usage Analysis for Academic Publications. In Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018 (pp. 241-246). [8478458] (Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSMP.2018.8478458