Abstract—
The article presents the results of the first statistical analysis of an array of references (about 30 million) from Russian research articles, reviews, conference proceedings, and monograph chapters published in 1980–2020. The references are processed (restructured and identified) to make them machine-readable and to match them to cited publications. It is found that the content of the bibliographic description fields is not uniform. Methods for eliminating this ambiguity are proposed. Changes in the length of reference lists over time, the completeness of data in fields containing bibliographic descriptions of references, the dependence of successful identification of references on the database and the time of publication of the citing publication, and cross-identification of source publications and references are discussed.
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Notes
There is a certain amount of duplication between WoS databases, with the same journal with all its articles being simultaneously stored (registered) in several databases. In accordance with Bradford’s law, not all articles of a journal correspond to its scope, and most of the articles on this topic are published in journals with other scopes. However, regardless of which WoS database(s) and how many of them an article is included in, it is assigned all the topic categories of these databases, but only one (single, identical) UT identifier [4]. Therefore, it is misleading to judge the number of publications in a particular academic field or discipline based on the codes and identifiers of articles in this or any other citation index [5].
REFERENCES
Garfield, E., Citation indexes for science: A new dimension in documentation through association of ideas, Science, 1955, vol. 222, no. 3159, pp. 108–111. https://doi.org/10.1126/science.122.3159.108
Arapov, M.V. and Libkind, A.N., The concept of the closed information flow, Autom. Doc. Math. Linguist., 1977, vol. 11, no. 2, pp. 77–94.
Libkind, A.N., One approach to study communication in science, Scientometrics, 1985, vol. 8, nos. 3–4, pp. 217–223. https://doi.org/10.1007/bf02016937
Akoev, M.A., Markusova, V.A., Moskaleva, O.V., and Pislyakov, V.V., Rukovodstvo po naukometrii. Indikatory razvitiya nauki i tekhnologii (Guide to Scientometry: Development Indicators of Science and Technology), Akoev, M.A., Ed., Yekaterinburg: Izd-vo Ural. Univ., 2021, 2nd ed.
Gilyarevskii, R.S., On the incorrect use of citation indices for assessment by comparison of divisions of science, Autom. Doc. Math. Linguist., 2022, vol. 56, no. 1, pp. 26–29. https://doi.org/10.3103/S000510552201006X
Soos, S., Age-sensitive bibliographic coupling reflecting the history of science: The case of the Species Problem, Scientometrics, 2014, vol. 98, no. 1, pp. 23–51. https://doi.org/10.1007/s11192-013-1080-y
Boyack, K.W. and Klavans, R., Co-citation analysis, bibliographic coupling, and direct citation: which citation approach represents the research front most accurately?, J. Am. Soc. Inf. Sci. Technol., 2010, vol. 61, no. 12, pp. 2389–2404. https://doi.org/10.1002/asi.21419
Funding
The study was performed as part of the state assignment to the All-Russian Institute of Scientific and Technical Information, Russian Academy of Sciences no. 0003-2022-0001 and supported by the Russian Foundation for Basic Research (project nos. 20-07-00014 and 20-010-00179).
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Translated by A. Ovchinnikova
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Gilyarevskii, R.S., Libkind, A.N. & Libkind, I.A. A Study of References in Russian Citing Publications (Sources) on Data from the Web of Science Core Collection. Autom. Doc. Math. Linguist. 56, 187–196 (2022). https://doi.org/10.3103/S0005105522040033
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DOI: https://doi.org/10.3103/S0005105522040033