基于Altmetrics的睡美人文献识别方法研究

Identification of Sleeping Beauties in Altmetrics

本质上,Altmetrics与被引频次均是对于学术成果影响力的计量,那么在引文中出现的“睡美人”现象,在Altmetrics中也同样存在。睡美人文献具有重要科研价值,实现基于Altmetrics的睡美人文献的早期识别,可以提升文献利用率,提升公众智慧,反映公众对科学的关注。设计识别方法用于识别现有的睡美人文献,是实现睡美人文献早期识别的第一步。基于Altmetrics的睡美人文献最重要的两个特点是较长的睡眠时间和关注的突增,以这两个特点为核心,本文参考四分位数和Bcp指数的思路,设计了一种基于Altmetrics的睡美人文献识别方法——ASB指数(altmetrics sleeping beauty index)。以关注度排名前1%的文章作为高关注度文献,形成实验集对ASB指数的识别效果进行检验,比较ASB值最高、中位、末位各10篇文章的关注累积曲线和指标特征,观察ASB指数的识别效果。检验结果表明,ASB指数对基于Altmetrics的睡美人文献识别效果良好。

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.