IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v116y2018i3d10.1007_s11192-018-2795-6.html
   My bibliography  Save this article

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

Author

Listed:
  • Naser Rashidi

    (Shiraz University)

  • Hussein Meihami

    (Shiraz University)

Abstract

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2795-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-018-2795-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. Eli M. Blatt, 2009. "Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 385-406, August.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    2. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    3. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, Open Access Journal, vol. 13(5), pages 1-29, March.
    4. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    5. Lutz Bornmann & Hans-Dieter Daniel, 2010. "The Usefulness of Peer Review for Selecting Manuscripts for Publication: A Utility Analysis Taking as an Example a High-Impact Journal," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-9, June.
    6. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    7. Mohadab, Mohamed El & Bouikhalene, Belaid & Safi, Said, 2020. "Bibliometric method for mapping the state of the art of scientific production in Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    8. Matthias Aistleitner & Jakob Kapeller & Stefan Steinerberger, 2018. "Citation Patterns in Economics and Beyond," Working Papers Series 85, Institute for New Economic Thinking.
    9. Magdalena Mucowska, 2021. "Trends of Environmentally Sustainable Solutions of Urban Last-Mile Deliveries on the E-Commerce Market—A Literature Review," Sustainability, MDPI, Open Access Journal, vol. 13(11), pages 1-26, May.
    10. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.
    11. Edoardo Magnone, 2014. "A novel graphical representation of sentence complexity: the description and its application," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1301-1329, February.
    12. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.
    13. Lutz Bornmann, 2015. "Letter to the Editor: On the conceptualisation and theorisation of the impact caused by publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1145-1148, June.
    14. Carlo Galli & Stefano Guizzardi, 2021. "The Effect of Article Characteristics on Citation Number in a Diachronic Dataset of the Biomedical Literature on Chronic Inflammation: An Analysis by Ensemble Machines," Publications, MDPI, Open Access Journal, vol. 9(2), pages 1-11, April.
    15. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    16. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
    17. Lutz Bornmann, 2020. "Bibliometrics-based decision tree (BBDT) for deciding whether two universities in the Leiden ranking differ substantially in their performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1255-1258, February.
    18. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    19. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
    20. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, Open Access Journal, vol. 1(2), pages 1-9, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2795-6. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.