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Social media-based sleeping beauties: Defining, identifying and features

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  • Hou, Jianhua
  • Yang, Xiucai

Abstract

The sleeping beauties in science signify a unique knowledge diffusion trajectory created by citation after the publication of scientific literature. However, in social media, scientific knowledge creates a new diffusion trajectory through social media metrics such as View, Save, Discussed, and Recommendations. This study aims to define social media–based sleeping beauties S-SB in science by using social media metrics which we termed as citation-based Sleeping Beauties in science, C-SB. We constructed a quantitative method to identify S-SB and conducted an empirical study of all types of 4019 articles published in PLOS Biology. Comparison of the S-SB and C-SB results revealed that from the perspective of social media metrics, C-SB has become the literature of S-total elements early gradual awakening type, S-total elements delay gradual awakening type, and S-early sudden awakening type. Moreover, the awakening time of C-SB literature under the action of social media metrics was found to be 4–5 years earlier than that under the action of citation-based indicators. Both C-SB and S-SB included significant “Editorial Material,” establishing that “Editorial Material” type literature is noteworthy while promoting the diffusion of scientific knowledge. Overall, this study extends the perspective of sleeping beauties in science.

Suggested Citation

  • Hou, Jianhua & Yang, Xiucai, 2020. "Social media-based sleeping beauties: Defining, identifying and features," Journal of Informetrics, Elsevier, vol. 14(2).
  • Handle: RePEc:eee:infome:v:14:y:2020:i:2:s1751157719303049
    DOI: 10.1016/j.joi.2020.101012
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    6. 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).
    7. 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.
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    9. Jianhua Hou & Hao Li & Yang Zhang, 2020. "Identifying the princes base on Altmetrics: An awakening mechanism of sleeping beauties from the perspective of social media," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-28, November.

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