IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v242y2019ics027795361930591x.html
   My bibliography  Save this article

The state of social science research on antimicrobial resistance

Author

Listed:
  • Frid-Nielsen, Snorre Sylvester
  • Rubin, Olivier
  • Baekkeskov, Erik

Abstract

This paper investigates the genealogy of social science research into antimicrobial resistance (AMR) by piecing together the bibliometric characteristics of this branch of research. Drawing on the Web of Science as the primary database, the analysis shows that while academic interest in AMR has increased substantially over the last few years, social science research continues to constitute a negligible share of total academic contributions. More in-depth network analysis of citations and bibliometric couplings suggests how the impact of social science research on the scientific discourse on AMR is both peripheral and spread thin. We conclude that this limited social science engagement is puzzling considering the clear academic and practical demand and the many existing interdisciplinary outlets.

Suggested Citation

  • Frid-Nielsen, Snorre Sylvester & Rubin, Olivier & Baekkeskov, Erik, 2019. "The state of social science research on antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:socmed:v:242:y:2019:i:c:s027795361930591x
    DOI: 10.1016/j.socscimed.2019.112596
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027795361930591X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2019.112596?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. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    2. Ahmed, Syud Amer & Barış, Enis & Go, Delfin S. & Lofgren, Hans & Osorio-Rodarte, Israel & Thierfelder, Karen, 2018. "Assessing the global poverty effects of antimicrobial resistance," World Development, Elsevier, vol. 111(C), pages 148-160.
    3. Fynbo, Lars & Jensen, Carsten Strøby, 2018. "Antimicrobial stigmatization: Public health concerns about conventional pig farming and pig farmers' experiences with stigmatization," Social Science & Medicine, Elsevier, vol. 201(C), pages 1-8.
    4. Kamenshchikova, A. & Wolffs, P.F.G. & Hoebe, C.J. & Penders, J. & Horstman, K., 2018. "Complex narratives of health, stigma and control: Antimicrobial resistance screening among non-hospitalized refugees," Social Science & Medicine, Elsevier, vol. 212(C), pages 43-49.
    5. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
    6. Jian Qin, 2000. "Semantic similarities between a keyword database and a controlled vocabulary database: An investigation in the antibiotic resistance literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 166-180.
    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. Anishka Cameron & Regina Esiovwa & John Connolly & Andrew Hursthouse & Fiona Henriquez, 2022. "Antimicrobial Resistance as a Global Health Threat: The Need to Learn Lessons from the COVID‐19 Pandemic," Global Policy, London School of Economics and Political Science, vol. 13(2), pages 179-192, May.
    2. Yan-Li Liu & Wen-Juan Yuan & Shao-Hong Zhu, 2022. "The state of social science research on COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 369-383, January.
    3. Elina Lampi & Daniel Carelli & Jon Pierre & Björn Rönnerstrand, 2023. "Two pandemics: the COVID-19 pandemic’s impact on future AMR collaboration in Europe," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

    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. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    2. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    3. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
    4. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    5. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
    6. Xiomara S. Q. Chacon & Thiago C. Silva & Diego R. Amancio, 2020. "Comparing the impact of subfields in scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 625-639, October.
    7. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    8. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    9. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    10. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    11. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    12. Sándor Soós & George Kampis, 2012. "Beyond the basemap of science: mapping multiple structures in research portfolios: evidence from Hungary," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 869-891, December.
    13. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
    14. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    15. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    16. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
    17. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    18. Rey-Long Liu, 2017. "A new bibliographic coupling measure with descriptive capability," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 915-935, February.
    19. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    20. Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.

    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:eee:socmed:v:242:y:2019:i:c:s027795361930591x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.