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Informetrics of Scientometrics abstracts: a rhetorical move analysis of the research abstracts published in Scientometrics journal


  • Naser Rashidi

    (Shiraz University)

  • Hussein Meihami

    (Shiraz University)


The research abstracts have significant functions in the process of conveying information about each research. This is much important in the scientometrics field due to the informative nature of it. The information which a research abstract provides can be of different types. That said, the purpose of the current study was to investigate the information provided by the research abstracts published in the Scientometrics journal during 1978–2017. To that end, we used a rhetorical move analysis method to analyze the research abstracts of the Scientometrics journal. In this study, 4214 research abstracts in 113 volumes of the Scientometrics journal were extracted from the original papers and reports and examined for their information based on Hyland’s (Disciplinary discourses: social interactions in academic writing, Longman London, 2000) five-move model. The results indicated that most of the information provided by the research abstracts during each decade of the journal publication and as a whole, was on method and results of the studies. Nevertheless, the least information both during each decade of the journal publication and as a whole, was on the conclusion of the studies. The results also revealed that there was a positive trajectory of development regarding information about introduction and purpose of the studies in the research abstracts. Thus, it can be concluded that there are some reasons such as situational options, community of practice, and the extent of the explicitness of the information which have effects on the information provided by the research abstracts.

Suggested Citation

  • Naser Rashidi & Hussein Meihami, 2018. "Informetrics of Scientometrics abstracts: a rhetorical move analysis of the research abstracts published in Scientometrics journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1975-1994, September.
  • Handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2795-6
    DOI: 10.1007/s11192-018-2795-6

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    References listed on IDEAS

    1. Marlene K. Kirchner & Ľubor Košťál & Boris Bilčík & Christoph Winckler, 2017. "Mapping farm animal welfare research in an enlarged Europe: international collaboration, bibliometric output, research resources and relation to economic indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 909-922, November.
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    3. James Hartley & James W. Pennebaker & Claire Fox, 2003. "Abstracts, introductions and discussions: How far do they differ in style?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 389-398, July.
    4. Christoph Neuhaus & Hans-Dieter Daniel, 2009. "A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 219-229, February.
    5. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    6. Maria Pinto, 2006. "A grounded theory on abstracts quality: Weighting variables and attributes," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 213-226, November.
    7. Rahman Sahragard & Hussein Meihami, 2016. "A diachronic study on the information provided by the research titles of applied linguistics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1315-1331, September.
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    1. Shaoliang Xie, 2020. "Multidimensional analysis of Master thesis abstracts: a diachronic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 861-881, May.
    2. Lu, Wei & Liu, Zhifeng & Huang, Yong & Bu, Yi & Li, Xin & Cheng, Qikai, 2020. "How do authors select keywords? A preliminary study of author keyword selection behavior," Journal of Informetrics, Elsevier, vol. 14(4).

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