利用altmetrics在准零日时间窗内检测有影响力的研究：以COVID-19为例
Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19
摘要：
2019年12月31日，世界卫生组织（WHO）中国国家办事处获悉武汉市发现不明原因肺炎病例。该综合征的原因是2020年1月7日分离出的一种新型冠状病毒，命名为严重急性呼吸道综合征冠状病毒2（SARS-CoV-2）。SARS-CoV-2是2019冠状病毒病（COVID-19）的病因。自2020年1月以来，越来越多的科学作品出现在文学作品中。在早期阶段确定相关的研究成果是一项挑战。在这项工作中，我们使用COVID-19作为一个用例来调查：（i）哪些工具和框架主要用于早期学术交流;（ii）在何种程度上altmetrics可以用于在严格的（即准零天）时间窗口中识别潜在的有影响力的研究。进行了具有严格合格标准的文献综述，以收集在2020年1月15日至2020年2月24日的紧凑时间窗内出现在文献中的关于SARS-CoV-2/COVID-19的科学论文组成的样本。该样本用于构建一个知识图谱，该图谱形式化地表示关于论文和指标的知识。这个知识图谱提供了一个数据分析过程，该过程被应用于试验altmetrics作为影响指标。我们发现传统的引用计数，社交媒体上的引用，以及新闻和博客上的提及之间存在中度相关性。这表明，与上述指标相关的引用行为有一个共同的预期含义。此外，我们定义了一种方法，协调不同的指标，提供一个多维的影响指标。
英文摘要：
On December 31st 2019, the World Health Organization (WHO) China Country Office was informed of cases of pneumonia of unknown etiology detected in Wuhan City. The cause of the syndrome was a new type of coronavirus isolated on January 7th 2020 and named Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). SARS-CoV-2 is the cause of the coronavirus disease 2019 (COVID-19). Since January 2020 an ever increasing number of scientific works have appeared in literature. Identifying relevant research outcomes at very early stages is challenging. In this work we use COVID-19 as a use-case for investigating: (i) which tools and frameworks are mostly used for early scholarly communication; (ii) to what extent altmetrics can be used to identify potential impactful research in tight (i.e. quasi-zero-day) time-windows. A literature review with rigorous eligibility criteria is performed for gathering a sample composed of scientific papers about SARS-CoV-2/COVID-19 appeared in literature in the tight time-window ranging from January 15th 2020 to February 24th 2020. This sample is used for building a knowledge graph that represents the knowledge about papers and indicators formally. This knowledge graph feeds a data analysis process which is applied for experimenting with altmetrics as impact indicators. We find moderate correlation among traditional citation count, citations on social media, and mentions on news and blogs. This suggests there is a common intended meaning of the citational acts associated with aforementioned indicators. Additionally, we define a method that harmonises different indicators for providing a multi-dimensional impact indicator.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
