IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i8d10.1007_s11192-022-04454-y.html
   My bibliography  Save this article

Sleeping beauties in health informatics research

Author

Listed:
  • Peter Kokol

    (University of Maribor
    University of Maribor)

  • Helena Blažun Vošner

    (Community Healthcare Center dr. Adolf Drolc Maribor
    Faculty of Health and Social Sciences Slovenj Gradec
    Alma Mater Europaea)

  • Jernej Završnik

    (Community Healthcare Center dr. Adolf Drolc Maribor
    Alma Mater Europaea)

  • Grega Žlahtič

    (University of Maribor)

Abstract

Scientific publications are received by the research community in various ways. Some articles are quickly cited, while others are discovered only after a longer period of time. The term ‘sleeping beauty’ is used to describe a publication that went unnoticed (asleep) for an extended period of time and then, almost suddenly, became interesting regarding the number of citations. Using our software based on van Raan criteria, we surprisingly identified only one Sleeping beauty according to van Rann criteria and two “to be” sleeping beauties among almost 71,000 Health informatics publications. Based on the rarity of sleeping beauties encountered in our study, we might hypothesise that knowledge development and its publications based archiving in young and extremely fast developing scientific fields like Health informatics might differ from traditional scientific disciplines, especially regarding the life cycles of innovations.

Suggested Citation

  • Peter Kokol & Helena Blažun Vošner & Jernej Završnik & Grega Žlahtič, 2022. "Sleeping beauties in health informatics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 5073-5081, August.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:8:d:10.1007_s11192-022-04454-y
    DOI: 10.1007/s11192-022-04454-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04454-y
    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/s11192-022-04454-y?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. You Song & Fangling Situ & Hongjun Zhu & Jinzhi Lei, 2018. "To be the Prince to wake up Sleeping Beauty: the rediscovery of the delayed recognition studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 9-24, October.
    2. Jiang Li & Fred Y. Ye, 2016. "Distinguishing sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 821-828, August.
    3. Feng, Feng & Zhang, Leiyong & Du, Yuneng & Wang, Weiguang, 2015. "Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation," Journal of Informetrics, Elsevier, vol. 9(1), pages 118-134.
    4. Yang, Jinqing & Bu, Yi & Lu, Wei & Huang, Yong & Hu, Jiming & Huang, Shengzhi & Zhang, Li, 2022. "Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process," Journal of Informetrics, Elsevier, vol. 16(1).
    5. Andreas Thor & Lutz Bornmann & Werner Marx & Rüdiger Mutz, 2018. "Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 591-608, July.
    6. Ratnadeep Dey & Anurag Roy & Tanmoy Chakraborty & Saptarshi Ghosh, 2017. "Sleeping beauties in Computer Science: characterization and early identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1645-1663, December.
    7. Hui Fang, 2019. "A transition stage co-citation criterion for identifying the awakeners of sleeping beauty publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 307-322, October.
    8. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    9. Jian Du & Yishan Wu, 2018. "A parameter-free index for identifying under-cited sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 959-971, August.
    10. Peter Kokol & Jernej Završnik & Helena Blažun Vošner, 2020. "Did Sleeping Papers in nursing research miss their target audience?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1243-1248, February.
    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. Chi, Yuxue & Tang, Xianyi & Liu, Yijun, 2022. "Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain," Journal of Informetrics, Elsevier, vol. 16(4).
    2. Hui Fang, 2019. "A transition stage co-citation criterion for identifying the awakeners of sleeping beauty publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 307-322, October.
    3. Helena H. Zhang & Fred Y. Ye, 2020. "Identifying ‘associated-sleeping-beauties’ in ‘swan-groups’ based on small qualified datasets of physics and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1525-1537, March.
    4. Jianhua Hou & Xiucai Yang, 2019. "Patent sleeping beauties: evolutionary trajectories and identification methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 187-215, July.
    5. Jianhua Hou & Hao Li & Yang Zhang, 2023. "Altmetrics-based sleeping beauties: necessity or just a supplement?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5477-5506, October.
    6. Jianhua Hou & Xiucai Yang & Haoyang Song & Haiyue Yao, 2023. "Will patent family be dormant? Research on the identification and characteristics of sleeping beauty’s patent family," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5361-5387, October.
    7. Li, Xin & Ma, Xiaodi & Feng, Ye, 2024. "Early identification of breakthrough research from sleeping beauties using machine learning," Journal of Informetrics, Elsevier, vol. 18(2).
    8. Hou, Jianhua & Yang, Xiucai, 2020. "Social media-based sleeping beauties: Defining, identifying and features," Journal of Informetrics, Elsevier, vol. 14(2).
    9. Miura, Takahiro & Asatani, Kimitaka & Sakata, Ichiro, 2023. "Revisiting the uniformity and inconsistency of slow-cited papers in science," Journal of Informetrics, Elsevier, vol. 17(1).
    10. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
    11. Adil El Aichouchi & Philippe Gorry, 2018. "Delayed recognition of Judah Folkman’s hypothesis on tumor angiogenesis: when a Prince awakens a Sleeping Beauty by self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 385-399, July.
    12. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha, 2022. "Awakening sleeping beauties during the COVID-19 pandemic influences the citation impact of their references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6047-6050, October.
    13. Hong Jiang & Jinlong Gai & Shukuan Zhao & Peggy E. Chaudhry & Sohail S. Chaudhry, 2022. "Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 361-378, May.
    14. Peter Kokol & Jernej Završnik & Helena Blažun Vošner, 2020. "Did Sleeping Papers in nursing research miss their target audience?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1243-1248, February.
    15. Du, Jian & Li, Peixin & Haunschild, Robin & Sun, Yinan & Tang, Xiaoli, 2020. "Paper-patent citation linkages as early signs for predicting delayed recognized knowledge: Macro and micro evidence," Journal of Informetrics, Elsevier, vol. 14(2).
    16. Yang, Jinqing & Bu, Yi & Lu, Wei & Huang, Yong & Hu, Jiming & Huang, Shengzhi & Zhang, Li, 2022. "Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process," Journal of Informetrics, Elsevier, vol. 16(1).
    17. Milad Haghani & Pegah Varamini, 2021. "Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7005-7050, August.
    18. Blanca De-Miguel-Molina & Scott W. Cunningham & Fernando Palop, 2017. "Analyzing Funding Patterns and Their Evolution in Two Medical Research Topics," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-39, April.
    19. Helena Blažun Vošner & Peter Kokol & Danica Železnik & Jernej Završnik, 2022. "From Roots to Contemporary Nursing in Ex-Yugoslavian Countries: A Synthetic Review," SAGE Open, , vol. 12(2), pages 21582440221, May.
    20. Anthony F. J. van Raan, 2021. "Sleeping beauties gain impact in overdrive mode," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4311-4332, May.

    More about this item

    Keywords

    Health informatics; Bibliometrics; Sleeping beauties; Innovations;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

    Statistics

    Access and download statistics

    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_s11192-022-04454-y. 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.