Methodological Approach to Determining the Position of the Russian Federation by the Share of Articles in the Scientific and Technological Development Priority Areas
Parfenova S.L., Dolgova V.N., Bezrodnova K.A., Bogatov V.V., Dikusar K.S.
Introduction. The aim of the research was to develop a methodological approach to the calculation of the indicator “Position of the Russian Federation by the share of articles in the scientific and technological development priority areas in the total number of articles indexed in international databases”. This indicator is a target indicator of the Russian National project “Science”. The relevance of the research is determined by the fact that there is no methodological approach to the calculation of the indicator for both international databases: Web of Science and Scopus. Monitoring Tools. The research is based on the following three methodological approaches proposed: 1) the approach based on averaging the final indicator; 2) the approach based on bringing the final indicator to an integer value; 3) the approach based onminimizing the final indicator. Results and Discussion. The results of the research include algorithms and methods for calculating the indicator. Calculation is carried out on the base of the authors’ compliance tables “scientific and technological development priorities – codes of international polythematic qualifiers”. Following the results of the study, the authors made the rankings of countries by the share of scientific articles indexed in Web of Science and (or) in Scopus, in the context of priorities for 2013-2017 (total 14 ratings). The rankings indicate the position of the Russian Federation in the world obtained with the use of three methodological approaches. Conclusion. The authors of the article recommend to determine Russia’s position in the world using the methodological approach based on the minimization of the final indicator, because it gives the most objective results. The developed methodological approaches can be used to make country rankings based on other scientometric indicators.
KeywordsWorld ranking, scientific article, Web of Science, Scopus, position of the Russian Federation, methodological approach, scientometric indicator, scientometrics, indexation, international database
Information about the authors
Svetlana L. Parfenova, Cand.Sci. (Economics), Head of the Department of Scientific and Technological Policy and Science Development, RIEPL (20A Dobrolyubova St., Moscow 127254, Russia), ORCID: http://orcid.org/0000-0002-9721-8772. Her area of expertise includes scientometrics and science statistics (monitoring and analysis of publication activity of Russian researchers according to Web of Science and Scopus; monitoring and analysis of scientific organizations’ effectiveness); instruments of scientific and technological policy, including the priorities of scientific and technological development of the Russian Federation.
Vladislava N. Dolgova, Cand.Sci. (Economics), Associate Professor, Head of the Department of socio-economic problems of the scientific and technological sphere, RIEPL (20A Dobrolyubova St., Moscow 127254, Russia), ORCID: http://orcid.org/0000-0002-3077-2517. Her area of expertise includes scientometrics and science statistics on Russian researchers according to Web of Science and Scopus; tools of public administration of science and technology.
Karina A. Bezrodnova, Researcher, RIEPL (20A Dobrolyubova St., Moscow 127254, Russia), ORCID: http://orcid.org/0000-0002-4318-8440. Her area of expertise includes the study of public management tools for the development of science and technology, scientometrics, big data analysis, financial business analysis.
Victor V. Bogatov, Researcher, RIEPL (20A Dobrolyubova St., Moscow 127254, Russia), ORCID: http://orcid.org/0000-0002-7807-8102. His area of expertise includes scientometrics, science statistics, instruments of scientific and technological policy and innovation management.
Konstantin S. Dikusar, Research Assistant, RIEPL (20A Dobrolyubova St., Moscow 127254, Russia ), ORCID: https://orcid.org/0000-0002-7635-4943. His area of expertise includes mathematical statistics, scientometrics, big data analysis, instruments of scientific and technological policy, innovation activities analysis.
- Parfenova S. L. – development of the research concept and methodological approaches;
- Dolgova V. N. – critical analysis of scientific materials, development of methodological approaches, formalized data analysis;
- Bezrodnova K. A., Bogatov V. V., Dikusar K. S. – collection, systematization and processing of data for the research, making tables and graphs.