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On academic reading: citation patterns and beyond

Author

Listed:
  • Anton Oleinik

    (Memorial University of Newfoundland
    Central Economics and Mathematics Institute of the Russian Academy of Sciences)

  • Svetlana Kirdina-Chandler

    (Institute of Economics of the Russian Academy of Sciences)

  • Irina Popova

    (Institute of Sociology of the Russian Academy of Sciences
    National Research University – the Higher School of Economics)

  • Tatyana Shatalova

    (XXI Century Integration International Secondary School)

Abstract

The article discusses the process of textually mediated communication in science and proposes an approach that complements citation analysis. Namely, it addresses the question of how the author’s text is read by the reader and whether the reader interprets the text in the same manner as the author. Fifty-seven scholarly contributions (articles, book chapters and book reviews), written by three social scientists, were content analyzed with the help of the QDA Miner and WordStat computer programs. The outcomes of the qualitative coding were compared with the outcomes of the analysis of word co-occurrences and the outcomes of the analysis on the basis of a dictionary based on substitution. Our findings suggest that texts have plural interpretations. Depending on the reading context, either the author’s or the reader’s perspective prevails. Also, both the author and the reader may read the text in a either deep or perfunctory manner. Deep reading necessitates spending significant time and cognitive resources.

Suggested Citation

  • Anton Oleinik & Svetlana Kirdina-Chandler & Irina Popova & Tatyana Shatalova, 2017. "On academic reading: citation patterns and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 417-435, October.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2466-z
    DOI: 10.1007/s11192-017-2466-z
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    References listed on IDEAS

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    3. Anton Oleinik & Irina Popova & Svetlana Kirdina & Tatyana Shatalova, 2014. "On the choice of measures of reliability and validity in the content-analysis of texts," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2703-2718, September.
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    Cited by:

    1. Anton Oleinik, 2022. "Relevance in Web search: between content, authority and popularity," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 173-194, February.

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