Dehghanbanadaki Hojat, Seif Farhad, Vahidi Yasmin, Razi Farideh, Hashemi Ehsan, Khoshmirsafa Majid, Aazami Hossein
Metabolic Disorders Research Center, Endocrinology and Metabolism MolecularCellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Department of Immunology and Allergy, Academic Center for Education, Culture, and Research, Tehran, Iran.
Med J Islam Repub Iran. 2020 May 23;34:51. doi: 10.34171/mjiri.34.51. eCollection 2020.
Since the outbreak of the novel coronavirus disease from Wuhan, China, in early December 2019, many scientists focused on this infection to find a way to deal with it. Due to the dramatic scientific growth in this field, we conducted a scientometric study to gain a better understanding of the scientific literature on COVID-19. We extracted all COVID-19 documents indexed in the Scopus from December 1, 2019, to April 1, 2020, without any language limitation and determined their bibliometric characteristics, including document type, open accessibility status, citation counting, H-index, top cited documents, the most productive countries, institutions and journals, international collaboration, the most frequent terms and keywords, journal bibliographic coupling and cocitations. A total of 923 documents on COVID-19 were retrieved, of which 418 were original articles. All documents had received 2551 citations with an average citation of 2.76 per document and an h-index of 23. China ranked first with 348 documents, followed by the United States (n = 160). The Lancet and BMJ Clinical Research Ed published the most documents (each with 74 documents) and 2 institutions (University of Hong Kong and Huazhong University of Science and Technology) ranked first in this regard. In addition, the present study analyzed the top 25 highly-cited documents (those that had received 70% of all citations). This study highlighted the focused subjects on various aspects of COVID-19 literature such as pathogenesis, epidemiology, transmission, diagnosis, treatment, prevention, and its complications.
自2019年12月初中国武汉爆发新型冠状病毒病以来,许多科学家聚焦于这种感染,以寻找应对方法。由于该领域科学研究的迅猛发展,我们开展了一项科学计量学研究,以便更好地了解关于新冠病毒病的科学文献。我们提取了2019年12月1日至2020年4月1日期间Scopus数据库中收录的所有新冠病毒病文献,不限语言,并确定了它们的文献计量学特征,包括文献类型、开放获取状态、引用计数、H指数、高被引文献、发文量最多的国家、机构和期刊、国际合作情况、最常用的术语和关键词、期刊文献耦合和共被引情况。共检索到923篇关于新冠病毒病的文献,其中418篇为原创文章。所有文献共获得2551次引用,平均每篇文献被引2.76次,H指数为23。中国以348篇文献位居榜首,其次是美国(160篇)。《柳叶刀》和《英国医学杂志·临床研究版》发表的文献最多(均为74篇),有2个机构(香港大学和华中科技大学)在这方面排名第一。此外,本研究分析了25篇高被引文献(占所有引用的70%)。这项研究突出了新冠病毒病文献在发病机制、流行病学、传播、诊断、治疗、预防及其并发症等各个方面的重点研究主题。
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