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.
References
Al-Shorbaji, N. (2001). Health and medical informatics: Technical paper WHO Cairo, 2001. In MEDINFO 2001. Cairo.
Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood modeland individual persuasion. MIS Quarterly: Management Information Systems, 33(2), 339–370. https://doi.org/10.2307/20650295
Brewer, L. C., Fortuna, K. L., Jones, C., Walker, R., Hayes, S. N., Patten, C. A., & Cooper, L. A. (2020). Back to the future: Achieving health equity through health informatics and digital health. JMIR mHealth and uHealth, 8(1), e14512. https://doi.org/10.2196/14512
Coelho, D. H., Kirk, A., Miller, D., Hasan, K., & Fenton, J. E. (2019). Sleeping beauties in the otolaryngology-head & neck surgery literature. The Laryngoscope. https://doi.org/10.1002/lary.28058
Coiera, E. (2015). Guide to health informatics. CRC Press.
Cui, Y., Zhang, Z.-F., Froines, J., Zhao, J., Wang, H., Yu, S.-Z., & Detels, R. (2003). Air pollution and case fatality of SARS in the People’s Republic of China: An ecologic study. Environmental Health: A Global Access Science Source, 2, 1–5. https://doi.org/10.1186/1476-069X-2-1
Dey, R., Roy, A., Chakraborty, T., & Ghosh, S. (2017). Sleeping beauties in computer science: Characterization and early identification. Scientometrics, 113(3), 1645–1663. https://doi.org/10.1007/s11192-017-2543-3
Du, J., & Wu, Y. (2018). A parameter-free index for identifying under-cited sleeping beauties in science. Scientometrics, 116(2), 959–971. https://doi.org/10.1007/s11192-018-2780-0
Fang, H. (2019). A transition stage co-citation criterion for identifying the awakeners of sleeping beauty publications. Scientometrics, 121(1), 307–322. https://doi.org/10.1007/s11192-019-03195-9
Feng, F., Zhang, L., Du, Y., & Wang, W. (2015). Visualization and quantitative study in bibliographic databases: A case in the field of university-industry cooperation. Journal of Informetrics, 9(1), 118–134. https://doi.org/10.1016/j.joi.2014.11.009
Gamache, R., Kharrazi, H., & Weiner, J. P. (2018). Public and population health informatics: The bridging of big data to benefit communities. Yearbook of Medical Informatics, 27(1), 199–206. https://doi.org/10.1055/s-0038-1667081
Garfield. (1980). Premature discovery or delayed recognition-why? Current Contents, 21, 5–10.
Hsieh, P.-J. (2015). Physicians’ acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk. International Journal of Medical Informatics, 84(1), 1–14. https://doi.org/10.1016/j.ijmedinf.2014.08.008
Ke, Q., Ferrara, E., Radicchi, F., & Flammini, A. (2015). Defining and identifying Sleeping Beauties in science. Proceedings of the National Academy of Sciences of the United States of America, 112(24), 7426–7431. https://doi.org/10.1073/pnas.1424329112
Khemphila, A., & Boonjing, V. (2011). Heart disease classification using neural network and feature selection (pp. 406–409). Presented at the proceedings—ICSEng 2011: International conference on systems engineering. https://doi.org/10.1109/ICSEng.2011.80
Koh, H. C., & Tan, G. (2005). Data mining applications in healthcare. Journal of Healthcare Information Management: JHIM, 19(2), 64–72.
Kokol, P., Blažun Vošner, H., & Vermeulen, J. (2017). Exploring an unknown territory: “sleeping Beauties” in the nursing research literature. Nursing Research, 66(5), 359–367. https://doi.org/10.1097/NNR.0000000000000238
Kokol, P., Blažun Vošner, H., & Završnik, J. (2021). Application of bibliometrics in medicine: A historical bibliometrics analysis. Health Information & Libraries Journal, 38(2), 125–138. https://doi.org/10.1111/hir.12295
Kokol, P., Završnik, J., & Blažun Vošner, H. (2020). Did Sleeping Papers in nursing research miss their target audience? Scientometrics, 122(2), 1243–1248. https://doi.org/10.1007/s11192-019-03323-5
Li, J., & Ye, F. Y. (2016). Distinguishing sleeping beauties in science. Scientometrics, 108(2), 821–828. https://doi.org/10.1007/s11192-016-1977-3
Maillet, É., Mathieu, L., & Sicotte, C. (2015). Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT. International Journal of Medical Informatics, 84(1), 36–47. https://doi.org/10.1016/j.ijmedinf.2014.09.004
Miura, T., Asatani, K., & Sakata, I. (2021). Large-scale analysis of delayed recognition using sleeping beauty and the Prince. Applied Network Science, 6(1), 1–28. https://doi.org/10.1007/s41109-021-00389-0
Reeves, J. J., Hollandsworth, H. M., Torriani, F. J., Taplitz, R., Abeles, S., Tai-Seale, M., et al. (2020). Rapid response to COVID-19: Health informatics support for outbreak management in an academic health system. Journal of the American Medical Informatics Association, 27(6), 853–859. https://doi.org/10.1093/jamia/ocaa037
Saba, V. K., & McCormick, K. A. (2021). Essentials of nursing informatics (7th ed.). McGraw-Hill Education.
Song, Y., Situ, F., Zhu, H., & Lei, J. (2018). To be the Prince to wake up Sleeping Beauty: The rediscovery of the delayed recognition studies. Scientometrics, 117(1), 9–24. https://doi.org/10.1007/s11192-018-2830-7
Synnestvedt, M. B., Chen, C., & Holmes, J. H. (2005). CiteSpace II: Visualization and knowledge discovery in bibliographic databases. In AMIA ... annual symposium proceedings/AMIA symposium. AMIA symposium (pp. 724–728).
Thor, A., Bornmann, L., Marx, W., & Mutz, R. (2018). Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer. Scientometrics, 116(1), 591–608. https://doi.org/10.1007/s11192-018-2733-7
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
van Raan, A. F. J. (2004). Sleeping beauties in science. Scientometrics, 59(3), 467–472. https://doi.org/10.1023/B:SCIE.0000018543.82441.f1
van Raan, A. F. J. (2015). Dormitory of physical and engineering sciences: Sleeping beauties may be sleeping innovations. PLoS ONE, 10(10), e0139786. https://doi.org/10.1371/journal.pone.0139786
van Raan, A. F. J. (2021). Sleeping beauties gain impact in overdrive mode. Scientometrics, 126(5), 4311–4332. https://doi.org/10.1007/s11192-021-03910-5
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
Wang, J.-Y., Ho, H.-Y., Chen, J.-D., Chai, S., Tai, C.-J., & Chen, Y.-F. (2015). Attitudes toward inter-hospital electronic patient record exchange: Discrepancies among physicians, medical record staff, and patients. BMC Health Services Research, 15(1), 264. https://doi.org/10.1186/s12913-015-0896-y
Wu, X., Nethery, R. C., Sabath, M. B., Braun, D., & Dominici, F. (2020). Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis. Science Advances. https://doi.org/10.1126/SCIADV.ABD4049
Yang, J., Bu, Y., Lu, W., Huang, Y., Hu, J., Huang, S., & Zhang, L. (2022). Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process. Journal of Informetrics, 16(1), 101239. https://doi.org/10.1016/j.joi.2021.101239
Završnik, J., Kokol, P., del Torso, S., & Blažun Vošner, H. (2016). Citation context and impact of ‘sleeping beauties’ in paediatric research. Journal of International Medical Research, 44(6), 1212–1221. https://doi.org/10.1177/0300060516672129
Žlahtič, G., Kokol, P., & Žlahtič, B. (2019). Discrepancies in identifying sleeping papers in Scopus and Web of Science: The case of “Software engineering.” COLLNET Journal of Scientometrics and Information Management, 13(2), 339–344. https://doi.org/10.1080/09737766.2020.1720549
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The study was partially funded by Horizon 2020 Project Stamina with the Grant Number 883441.
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Kokol, P., Blažun Vošner, H., Završnik, J. et al. Sleeping beauties in health informatics research. Scientometrics 127, 5073–5081 (2022). https://doi.org/10.1007/s11192-022-04454-y
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DOI: https://doi.org/10.1007/s11192-022-04454-y