IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i8d10.1007_s11192-022-04459-7.html
   My bibliography  Save this article

Microwave effect: analyzing citations from classic theories and their reinventions—a case study from a classic paper in aquatic ecology—Brooks & Dodson, 1965

Author

Listed:
  • Rayanne Barros Setubal

    (Universidade Federal do Rio de Janeiro/UFRJ
    Fundação de Apoio à Escola Técnica/FAETEC)

  • Daniel Silva Farias

    (Universidade Federal do Rio de Janeiro/PPGE-UFRJ)

  • Clarice Casa Nova

    (Universidade Federal do Rio de Janeiro/UFRJ)

  • Anna Carolina Fornero Aguiar

    (Universidade Federal do Rio de Janeiro/PPGE-UFRJ)

  • Tauany Aparecida Silva Santa Rosa Rodrigues

    (Universidade Federal do Rio de Janeiro/PPGE-UFRJ)

  • Rafael Teixeira Santos Lira

    (Universidade Federal do Rio de Janeiro/PPGCIAC-UFRJ)

  • Anderson Luiz Vargas Ferreira

    (Universidade Federal do Rio de Janeiro/PPGE-UFRJ)

  • Mariana Rodrigues Angelo de Oliveira

    (Universidade Federal do Rio de Janeiro/PPGE-UFRJ)

  • Luiza Oliveira Costa

    (Universidade do Estado do Rio de Janeiro/PPGEE-UERJ)

  • Sorana Karenina Antônia Francisquini Lima

    (Universidade Federal do Rio de Janeiro/UFRJ)

  • Reinaldo Luiz Bozelli

    (Universidade Federal do Rio de Janeiro/UFRJ)

Abstract

Citations play an essential role in creating a knowledge network and recognizing relevant contributions during the process of scientific production. Despite the citations establishing the links between new evidence and the preceding ideas, classic articles may not be cited adequately. Our aim is to identify if classic studies are cited over time and if the recent studies are producing new knowledge or just “giving a new look” to pre-existing ideas. We evaluated whether the theory proposed by Brooks and Dodson (Science 150(3692): 28–35, 1965)-Size-efficiency Hypothesis was referenced in studies on the subject since its publication. Through the analysis of 1480 scientific papers, we quantified—from 1965 to 2018—the citation index (CI) of the original article considering the number of articles produced on the topic per year and the number of citations to other authors (intermediaries). We observed that 60% of the papers and 59% of the intermediaries do not refer to the original article. The CI was low and negatively affected by the age of the original article, showing that the frequency of citation was lower than the rate by which articles on the topic were published. There is a tendency to cite more recent articles and articles that corroborate their own findings. Our data illustrated the microwave effect, in which pre-existing ideas and theories are “reheated” by more recent articles where little of the original idea is modified. The microwave effect can create the impression of scientific advancement when there is little being added to the knowledge already produced.

Suggested Citation

  • Rayanne Barros Setubal & Daniel Silva Farias & Clarice Casa Nova & Anna Carolina Fornero Aguiar & Tauany Aparecida Silva Santa Rosa Rodrigues & Rafael Teixeira Santos Lira & Anderson Luiz Vargas Ferre, 2022. "Microwave effect: analyzing citations from classic theories and their reinventions—a case study from a classic paper in aquatic ecology—Brooks & Dodson, 1965," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4751-4767, August.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:8:d:10.1007_s11192-022-04459-7
    DOI: 10.1007/s11192-022-04459-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04459-7
    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/s11192-022-04459-7?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. Jeppe Nicolaisen & Tove Faber Frandsen, 2019. "Zero impact: a large-scale study of uncitedness," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1227-1254, May.
    2. Esther Landhuis, 2016. "Scientific literature: Information overload," Nature, Nature, vol. 535(7612), pages 457-458, July.
    3. Jiang Li & Fred Y. Ye, 2012. "The phenomenon of all-elements-sleeping-beauties in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 795-799, September.
    4. Donald O. Case & Georgeann M. Higgins, 2000. "How can we investigate citation behavior? A study of reasons for citing literature in communication," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(7), pages 635-645.
    5. André Andrian Padial & João Carlos Nabout & Tadeu Siqueira & Luis Mauricio Bini & José Alexandre Felizola Diniz-Filho, 2010. "Weak evidence for determinants of citation frequency in ecological articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 1-12, October.
    6. Xianwen Wang & Chen Liu & Wenli Mao & Zhichao Fang, 2015. "Erratum to: The open access advantage considering citation, article usage and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1149-1149, June.
    7. James H. Fowler & Dag W. Aksnes, 2007. "Does self-citation pay?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 427-437, September.
    8. Richard Van Noorden, 2013. "Open access: The true cost of science publishing," Nature, Nature, vol. 495(7442), pages 426-429, March.
    9. 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.
    10. Peiling Wang & Marilyn Domas White, 1999. "A cognitive model of document use during a research project. Study II. Decisions at the reading and citing stages," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 98-114.
    11. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    12. Xianwen Wang & Chen Liu & Wenli Mao & Zhichao Fang, 2015. "The open access advantage considering citation, article usage and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 555-564, May.
    13. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    14. Stefano Mammola & Diego Fontaneto & Alejandro Martínez & Filipe Chichorro, 2021. "Impact of the reference list features on the number of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 785-799, January.
    15. Lalitha Kumari, 2006. "Trends in synthetic organic chemistry research. Cross-country comparison of Activity Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 467-476, June.
    Full references (including those not matched with items on IDEAS)

    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. Chunli Wei & Jingyi Zhao & Jue Ni & Jiang Li, 2023. "What does open peer review bring to scientific articles? Evidence from PLoS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2763-2776, May.
    2. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    3. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo & Leonardo Grilli, 2024. "The role of non-scientific factors vis-à-vis the quality of publications in determining their scholarly impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 5003-5019, August.
    5. Zhentao Liang & Jin Mao & Kun Lu & Gang Li, 2021. "Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9519-9542, December.
    6. 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.
    7. Stefano Mammola & Diego Fontaneto & Alejandro Martínez & Filipe Chichorro, 2021. "Impact of the reference list features on the number of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 785-799, January.
    8. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
    9. Lanu Kim & Jason H. Portenoy & Jevin D. West & Katherine W. Stovel, 2020. "Scientific journals still matter in the era of academic search engines and preprint archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1218-1226, October.
    10. Liu, Jialin & Chen, Hongkan & Liu, Zhibo & Bu, Yi & Gu, Weiye, 2022. "Non-linearity between referencing behavior and citation impact: A large-scale, discipline-level analysis," Journal of Informetrics, Elsevier, vol. 16(3).
    11. Guoqiang Liang & Haiyan Hou & Qiao Chen & Zhigang Hu, 2020. "Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 219-232, July.
    12. Zhiqi Wang & Wolfgang Glänzel & Yue Chen, 2020. "The impact of preprints in Library and Information Science: an analysis of citations, usage and social attention indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1403-1423, November.
    13. Yunxue Cui & Yongzhen Wang & Xiaozhong Liu & Xianwen Wang & Xuhong Zhang, 2023. "Multidimensional scholarly citations: Characterizing and understanding scholars' citation behaviors," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 115-127, January.
    14. Liwei Zhang & Liang Ma, 2023. "Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2803-2818, May.
    15. Stefano Mammola & Elena Piano & Alberto Doretto & Enrico Caprio & Dan Chamberlain, 2022. "Measuring the influence of non-scientific features on citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4123-4137, July.
    16. Yangping Zhou, 2021. "Self-citation and citation of top journal publishers and their interpretation in the journal-discipline context," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6013-6040, July.
    17. Chompunuch Saravudecha & Duangruthai Na Thungfai & Chananthida Phasom & Sodsri Gunta-in & Aorrakanya Metha & Peangkobfah Punyaphet & Tippawan Sookruay & Wannachai Sakuludomkan & Nut Koonrungsesomboon, 2023. "Hybrid Gold Open Access Citation Advantage in Clinical Medicine: Analysis of Hybrid Journals in the Web of Science," Publications, MDPI, vol. 11(2), pages 1-9, March.
    18. Juan Xie & Hongru Lu & Lele Kang & Ying Cheng, 2022. "Citing criteria and its effects on researcher's intention to cite: A mixed‐method study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1079-1091, August.
    19. Ha, Taehyun, 2022. "An explainable artificial-intelligence-based approach to investigating factors that influence the citation of papers," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. Nunkoo, Robin & Hall, C. Michael & Rughoobur-Seetah, Soujata & Teeroovengadum, Viraiyan, 2019. "Citation practices in tourism research: Toward a gender conscientious engagement," Annals of Tourism Research, Elsevier, vol. 79(C).

    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:127:y:2022:i:8:d:10.1007_s11192-022-04459-7. See general information about how to correct material in RePEc.

    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. RePEc uses bibliographic data supplied by the respective publishers.