MODEL AND INDIVIDUAL QUALITY METRICS OF SCIENTIFIC PUBLICATIONS

Authors

  • S. A. Subbotin Zaporizhzhya National Technical University, Zaporizhzhya, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2015-3-4

Keywords:

scientometrics, bibliometrics, quality, paper, scientific work, metric, citation analysis, article importance.

Abstract

The existent metrics of scientific publications has been analyzed. Their common disadvantage is the external evaluation of articles relatively to external level to their content. This obviously does not allow to assess the quality of presentation of the article. The purpose of this paper is to develop a set of indicators to characterize the properties of scientific papers in terms of their structure, vocabulary and forms of presentation, as well as a bibliography. The set of metrics allowing to quantificate the material individual properties and to automate the analysis of scientific publications has been defined. The proposed set includes such paper indices as: potential readership coverage, structuring, diversity of geography, languages and types of bibliographic sources, bibliography quality, text richness by the links to sources, figures and tables
number and quotability, Illustrativity, mathematical apparatus volume and the use, abbreviation effectiveness, paper vocabulary indices
(compliance of title with text, of title with author’s abstracts, of author’s abstracts with text, of keywords with abstracts, of keywords with title,
of keywords with text, of keywords with characteristic words, of abstracts with characteristic words, of names with characteristic words, of
UDC with paper vocabulary, of tables and figures descriptions with text, of vocabulary compliance with paragraphs, of references names with
text), self-citations of the authors, author team quality, hybrid and integrated indicators of paper quality. The examples confirming practical
applicability of the proposed indicators are shown.

References

Moed H. F. Measuring contextual citation impact of scientific journals / H. F. Moed // Journal of Informetrics. – 2010. – Vol. 4, Issue 3. – P. 265–277. DOI: 10.1016/j.joi.2010.01.002 2. Gonz lez-Pereira B. A new approach to the metric of journals’ scientific prestige: The SJR indicator / B Gonz lez-Pereira, V. P. Guerrero-Bote, F. Moya-Anegуn // Journal of informetrics. – 2010. – Vol. 4, Issue 3. – P. 379–391. DOI: 10.1016/ j.joi.2010.03.002 3. Guerrero-Bote V. P. A further step forward in measuring journals’ scientific prestige: The SJR2 indicator / V. P. Guerrero-Bote, F. Moya-Anegуn // Journal of Informetrics. – 2012. – Vol. 6, Issue 4. – P. 674–688. DOI: 10.1016/j.joi.2012.07.001 4. Butler D. Free journal-ranking tool enters citation market / D. Butler // Nature. – 2008. – Vol. 451, Issue 6. – P. 6. DOI:10.1038/451006a. 5. Falagas M. E. Comparison of SCImago journal rank indicator with journal impact factor // M. E. Falagas, V. D. Kouranos, R. Arencibia- Jorge, D. E. Karageorgopoulos // The FASEB Journal. – 2008. – Vol. 22, Isuue 8. – P. 2623–2628. DOI:10.1096/fj.08-107938. 6. Bergstrom C. T. The Eigenfactor Metrics / C. T. Bergstrom, J. D. West, M. A. Wiseman // Journal of Neuroscience. – 2008. – Vol. 28, Issue 45. – P. 11433–11434. 7. Hirsch J. E. An index to quantify an individual’s scientific research output // Proceedings of The National Academy of Sciences. – 2005. – Vol. 102, № 46. – P. 16569–16572. DOI:10.1073/ pnas.0507655102. 8. Egghe L. Theory and practise of the g-index / L. Egghe // Scientometrics. – 2006. – Vol. 69, № 1. – P. 131–152. DOI:10.1007/s11192-006-0144-7. 9. Woeginger G. J. An axiomatic analysis of Egghe’s g-index / G. J. Woeginger // Journal of Informetrics. – 2008. – Vol. 2, Issue 4. – P. 364–368. DOI:10.1016/j.joi.2008.05.002 10. Tol R. S. J. A rational, successive g-index applied to economics departments in Ireland / R. S. J. Tol // Journal of Informetrics. – 2008. – Vol. 2, Issue 2. – P. 149–155. DOI:10.1016/j.joi.2008.01.001. 11. Kosmulski M. I – a bibliometric index / M. Kosmulski // Forum Akademickie. – 2006. – Vol. 11. – P. 31. 12. Prathap G. Hirsch-type indices for ranking institutions’ scientific research output // Current Science. – 2006. – Vol 91, Issue 11. – P. 1439. 13. Игра в цыфирь, или как теперь оценивают труд ученого (cборник статей о библиометрике). – М. : МЦНМО, 2011. – 72 с. 14. Цыганов А. В. Краткое описание наукометрических показателей, основанных на цитируемости // Управление большими системами : cб. тр. Спец. вып. 44 – Наукометрия и экспертиза в управлении наукой / [под ред. Д. А. Новикова, А. И. Орлова, П. Ю. Чеботарева]. – М. : ИПУ РАН, 2013. – С. 248–261. 15. Штовба С. Д. Обзор наукометрических показателей для оценки публикационной деятельности ученого / С. Д. Штовба, Е. В. Штовба // Управление большими системами : cб. тр. Спец. Вып. 44 – Наукометрия и экспертиза в управлении наукой / [под ред. Д. А. Новикова, А. И. Орлова, П. Ю. Чеботарева]. – М. : ИПУ РАН, 2013. – С. 262–278. 16. List of languages by total number of speakers [Electronic resource]. – Access mode: https://en.wikipedia.org/wiki/ List_of_languages_by_total_number_of_speakers.

Published

2015-02-04

How to Cite

Subbotin, S. A. (2015). MODEL AND INDIVIDUAL QUALITY METRICS OF SCIENTIFIC PUBLICATIONS. Radio Electronics, Computer Science, Control, (3). https://doi.org/10.15588/1607-3274-2015-3-4

Issue

Section

Mathematical and computer modelling