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Citation contexts as a data source for evaluation of scholarly consumption

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  • Sergey Parinov

    (Central Economics and Mathematics Institute of Russian Academy of Sciences
    Russian Presidential Academy of National Economy and Public Administration)

Abstract

In recent years, large datasets of citation contexts from research publications have become available for scientometric studies. Such citation contexts contain different characteristics of relationships between citing and cited papers, including information about publications that were in some way used by citing authors, about the motivations of this use, etc. Some of these characteristics can be considered as indicators of scholarly consumption of the citing authors. Based on the citation contexts data, the scholarly consumption can be characterized by four indicators: (a) data on cited (consumed) publications and their authors (suppliers); (b) types of scholarly consumption; (c) its thematics; and (d) temporary changes in these data. The indicators can be grouped and merged in various ways based on belonging to common citation contexts and/or on the coincidence of their values. By this way, one can create datasets for various objects and tasks of scientometric evaluation of scholarly consumption. The article proposes a general approach for building the scholarly consumption indicators, and presents the results of the experiments on evaluating a thematic structure of scholarly consumption. For this, thematically significant groups of words (topics) were selected from the citation contexts by using the LDA topic modeling method. Topics are obtained from the citation contexts for three groups of publications: (1) publications of a given author, (2) publications cited by a given author (suppliers), and (3) publications citing a given author (consumers). Thematic structures of scholarly consumption for a given author, as well as for his suppliers and consumers have been built. The features of the thematic structure representation in the forms of a tree of words and a flowchart are considered.

Suggested Citation

  • Sergey Parinov, 2021. "Citation contexts as a data source for evaluation of scholarly consumption," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9249-9265, November.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:11:d:10.1007_s11192-021-04165-w
    DOI: 10.1007/s11192-021-04165-w
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    References listed on IDEAS

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    1. Iman Tahamtan & Lutz Bornmann, 2019. "What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1635-1684, December.
    2. Marc Bertin & Iana Atanassova & Cassidy R. Sugimoto & Vincent Lariviere, 2016. "The linguistic patterns and rhetorical structure of citation context: an approach using n-grams," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1417-1434, December.
    3. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    4. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
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