Visualizing the knowledge outburst in global research on COVID-19

被引:24
|
作者
Pal, Jiban K. [1 ]
机构
[1] Indian Stat Inst, Lib Documentat & Informat Sci Div, 203 BT Rd, Kolkata 700108, India
关键词
Scientometrics; Scientific visualization; Research evaluation; Knowledge mapping; Quantitative analysis; Novel Coronavirus; COVID-19; 2019-nCoV; SARS-CoV-2;
D O I
10.1007/s11192-021-03912-3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The scholarly output of the new coronavirus research has been proliferating. During five months, an amount of 14,588 scientific publications about nCoV-2 and COVID-19 has been generated intensively (as indexed in Scopus on 31 May 2020). Such a knowledge outburst has created ample interest in understanding the research landscape of this newly configured area. This paper demonstrates on scientometric dimensions of the novel coronavirus (2019-nCov) research using quantifiable characteristics of the publication dataset. Findings reveal that the rate of publication growth (1600%) is very significant to a synergic response of the researchers to combat with the most extended sequence of an RNA virus. Indeed their response has geared up to an average of 100 articles per day. Many scholarly publishers have disclosed their preprint servers to make the publications available immediately, even by enabling Open Access. The scientific contents have published in more than 500 journals from 240 academic publishers. While the top-ten publishers occupied almost 70% of the articles, then about 25% of the studies were sponsored by 300 funding agencies. Among the notable journals Lancet, Nature, BMJ, JAMA, JMV, and NEJM are prominent. Findings also reveal that majority of the contributions have occurred in Medical Science, focusing on virology, immunology, epidemiology, pharmacology, public health, critical care, and emergency medicine. However, the closely associated terms are virus transmission, infection control, asymptomatic, quarantine, pneumonia, human, disease severity, clinical trials, viral pathogenesis, pandemic, risk, and mortality. The study suggests that academic hubs are located mostly in the USA, China, Italy, and the UK. Among the productive institutions; Huazhong Univ (China), Tongji Med. College (China), Harvard Med. School (USA), Univ of Milan (Italy), INSERM (France), UCL (UK) are outstanding. The G7 countries together produced 50% of the global research output on nCov-2. It also noted an encouraging trend of collaborative research across many countries and disciplines, where the values of CI (6.46), DC (0.79), and CC (0.59) are very significant. It examines the geographical diversity of the collaborating authors, thereby visualized their linkages via co-authorship occurrences. Finally, it analyzed the publications' impact to showcase the most influential contributions of the new coronavirus research.
引用
收藏
页码:4173 / 4193
页数:21
相关论文
共 50 条
  • [31] COVID-19: a global pandemic
    Downing, S. L.
    SA PHARMACEUTICAL JOURNAL, 2020, 87 (02) : 31 - 34
  • [32] The Arab region's contribution to global COVID-19 research: Bibliometric and visualization analysis
    Zyoud, Sa'ed H.
    GLOBALIZATION AND HEALTH, 2021, 17 (01)
  • [33] Water science under the global epidemic of COVID-19: Bibliometric tracking on COVID-19 publication and further research needs
    Ji, Bin
    Zhao, Yaqian
    Wei, Ting
    Kang, Peiying
    JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2021, 9 (04):
  • [34] 'Walking between the lines': research evaluation in China beyond COVID-19: research evaluation in China beyond COVID-19
    Han, Shuangmiao
    Xie, Jing
    ASIA PACIFIC EDUCATION REVIEW, 2023,
  • [35] Research on Question Answering System for COVID-19 Based on Knowledge Graph
    Ding, Kai
    Han, Hongqi
    Li, Linna
    Yi, Menglin
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 4659 - 4664
  • [36] An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research
    Su, Juntao
    Dougherty, Edward T.
    Jiang, Shuang
    Jin, Fang
    WSDM'22: PROCEEDINGS OF THE FIFTEENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2022, : 1609 - 1612
  • [37] Prediction of global spread of COVID-19 pandemic: a review and research challenges
    Saloni Shah
    Aos Mulahuwaish
    Kayhan Zrar Ghafoor
    Halgurd S. Maghdid
    Artificial Intelligence Review, 2022, 55 : 1607 - 1628
  • [38] Prediction of global spread of COVID-19 pandemic: a review and research challenges
    Shah, Saloni
    Mulahuwaish, Aos
    Ghafoor, Kayhan Zrar
    Maghdid, Halgurd S.
    ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (03) : 1607 - 1628
  • [39] Geopolitics of Power and Knowledge in the COVID-19 Pandemic: Decolonial Reflections on a Global Crisis
    Ndlovu-Gatsheni, Sabelo J.
    JOURNAL OF DEVELOPING SOCIETIES, 2020, 36 (04) : 366 - 389
  • [40] How COVID-19 changed clinical research strategies: a global survey
    Bauer, Annina
    Eskat, Anja
    Ntekim, Atara
    Wong, Creany
    Eberle, Deborah
    Hedayati, Elham
    Tay, Fabian
    Yau, Henry
    Stockley, Louise
    Redondo, Maria de Medina
    Sen, Selcuk
    Egert-Schwender, Silvia
    Uresin, Yagiz
    Grossmann, Regina
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2022, 50 (04)