论文标题

为期一年:COVID-19国际层的研究索索数据数据

One-Year In: COVID-19 Research at the International Level in CORD-19 Data

论文作者

Wagner, Caroline S., Cai, Xiaojing, Zhang, Yi, Fry, Caroline V.

论文摘要

自2002年SARS流行以来,2019年底的新型冠状病毒的出现从根本上改变了研究冠状病毒的社区。 2020年,与冠状病毒相关的出版物在过去两年中增长了20倍,其中有13万个研究人员在相关主题上发表。美国,英国和中国在大流行之前领导了数十个国家从事冠状病毒的国家,但领导层在2020年的这三个国家中巩固了这三个国家,这些国家共同占所有论文的50%,获得了超过60%的引用。中国早期在Covid-19研究中领先,但在一年中的生产和国际参与方面迅速下降。欧洲表现出相反的模式,从出版物开始缓慢,但在这一年中的贡献增长。国际协作出版物的份额从大流行前率下降。单人作者的出版物增长了。对于包括中国在内的所有国家,有关Covid Track的出版物数量与19例Covid-19案件的爆发密切相关。低收入国家在2020年的Covid-19研究中很少参与。国际协作工作的主题图显示了患者护理和公共卫生群集的兴起,这两个主题在2020年之前的两年中很大程度上没有冠状病毒研究。发现与全球科学作为一种自我组织在基于声音的动力学上的自组织。

The appearance of a novel coronavirus in late 2019 radically changed the community of researchers working on coronaviruses since the 2002 SARS epidemic. In 2020, coronavirus-related publications grew by 20 times over the previous two years, with 130,000 more researchers publishing on related topics. The United States, the United Kingdom and China led dozens of nations working on coronavirus prior to the pandemic, but leadership consolidated among these three nations in 2020, which collectively accounted for 50% of all papers, garnering well more than 60% of citations. China took an early lead on COVID-19 research, but dropped rapidly in production and international participation through the year. Europe showed an opposite pattern, beginning slowly in publications but growing in contributions during the year. The share of internationally collaborative publications dropped from pre-pandemic rates; single-authored publications grew. For all nations, including China, the number of publications about COVID track closely with the outbreak of COVID-19 cases. Lower-income nations participate very little in COVID-19 research in 2020. Topic maps of internationally collaborative work show the rise of patient care and public health clusters, two topics that were largely absent from coronavirus research in the two years prior to 2020. Findings are consistent with global science as a self-organizing system operating on a reputation-based dynamic.

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