论文标题

对跨主题领域和研究主题的Web科学出版物的高度数据的存在进行了广泛的分析

An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics

论文作者

Fang, Zhichao, Costas, Rodrigo, Tian, Wencan, Wang, Xianwen, Wouters, Paul

论文摘要

足够的数据存在是实践中应用指标的关键前提之一。 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.大多数高级事件都用于生物医学和健康科学,社会科学和人文科学以及生命与地球科学领域的出版物。至于研究主题,研究主题的关注水平在高度数据的情况下各不相同,并且特定的高度数据显示了研究主题的不同偏好,在基础上,提出了识别热研究主题的框架,并应用于检测具有较高关注水平的研究主题对某些高级数据源的吸引水平。 Twitter提到和政策文件的引用被选为两个示例,以确定Twitter用户和决策者感兴趣的热门研究主题,从而阐明了高度数据在监测特定社会关注的研究趋势中的潜力。

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.

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