Sufficient data presence is one of the key preconditions for applying metrics in practice. Based on both Altmetric.com data and Mendeley data collected up to 2019, this paper presents a state-of-the-art analysis of the presence of 12 kinds of altmetric events for nearly 12.3 million Web of Science publications published between 2012 and 2018. Results show that even though an upward trend of data presence can be observed over time, except for Mendeley readers and Twitter mentions, the overall presence of most altmetric data is still low. The majority of altmetric events go to publications in the fields of Biomedical and Health Sciences, Social Sciences and Humanities, and Life and Earth Sciences. As to research topics, the level of attention received by research topics varies across altmetric data, and specific altmetric data show different preferences for research topics, on the basis of which a framework for identifying hot research topics is proposed and applied to detect research topics with higher levels of attention garnered on certain altmetric data source. Twitter mentions and policy document citations were selected as two examples to identify hot research topics of interest of Twitter users and policy-makers, respectively, shedding light on the potential of altmetric data in monitoring research trends of specific social attention.

中文翻译：

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对跨学科领域和研究主题的 Web of Science 出版物替代度量数据存在的广泛分析

充足的数据存在是在实践中应用指标的关键先决条件之一。基于截至 2019 年收集的 Altmetric.com 数据和 Mendeley 数据，本文对 2012 年至 2018 年间发表的近 1230 万篇 Web of Science 出版物的 12 种替代指标事件的存在进行了最新分析。结果表明，尽管随着时间的推移可以观察到数据存在的上升趋势，除了 Mendeley 读者和 Twitter 提及之外，大多数替代指标数据的整体存在仍然很低。大多数 altmetric 事件都发表在生物医学和健康科学、社会科学和人文科学以及生命和地球科学领域的出版物上。至于研究课题，研究课题受到的关注程度因altmetric数据而异，并且特定的altmetric数据对研究主题的偏好不同，在此基础上提出了一个识别热点研究主题的框架，并应用于检测在某些altmetric数据源上获得更高关注度的研究主题。Twitter 提及和政策文件引用被选为两个例子，分别确定 Twitter 用户和政策制定者感兴趣的热门研究主题，揭示了替代度量数据在监测特定社会关注的研究趋势方面的潜力。