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| Identification of Sleeping Beauties in Altmetrics |
| Xiang Fei1, Chen Huafang1, Shen Tong1,2, Cao Guang3, Liu Yan1 |
1.School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030
2.Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030
3.Zhejiang Provincial People’s Hospital, Hangzhou 310014 |
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Abstract In essence, Altmetrics (alternative metrics) and citations are both measures of the impact of academic achievements; therefore, the “sleeping beauties” (SBs) that appear in citations also appear in Altmetrics. Those based on Altmetrics (A-SBs), which are initially unknown, resulting in a waste of knowledge, are of great value. Realizing the early prediction of A-SBs can improve article utilization, enhance public wisdom, and reflect the public’s attention. Developing a method to identify SBs is the first step to realizing their early prediction. The two most important features of A-SBs are a long sleeping time and sudden increase in attention. According to quartiles and Bcp, an Altmetrics sleeping beauty (ASB) index was developed to identify A-SBs with the core of these features. This study included the articles with the top 1% of the attention as high-attention articles, which were used to test the effect of the ASB index. The effect of the ASB index was analyzed via the comparison of the accumulation curves of attention and index features of 10 articles with the highest, median, and lowest ASB values. The results indicated that the ASB index is effective in the recognition of A-SBs.
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Received: 27 September 2022
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