Author Productivity of COVID-19 Research Output Globally: Testing Lotka's Law
17 Pages Posted: 20 May 2020 Last revised: 21 May 2020
Date Written: April 6, 2020
COVID-19 is a novel virus with lethal effects on human health causing respiratory failure and infiltration in the lungs. The present study was carried out to examine global publication trends in research associated with COVID-19 and sought the fitness of Lotkas law. Data were obtained from the WHO database. The search term “2019nCoV, COVID-19” was used to retrieve articles published from December 2019 to March nineteenth, 2020. A total of 2250 articles have been contributed by 2218 authors. Four clusters were formed pertaining to “author title/abstract”, the terms hospital, CoV, coronavirus, pneumonia were found associated with 20674 terms out of which 797 met the threshold. Co-authorship pattern of COVID-19 research generated 6 clusters with 65 authors, “Nishiura, Hiroshi” surpassed the list of co-authors followed by He, Daihai, Zhao, Shi and Zhang, Wei. The Lotka’s law on the productivity of authors on COVID-19 literature has been established to confirm the applicability of the law to the present data set. The goodness of fit - Kolmogorov-Smirnov (KS) assessed to quantify the pragmatism of the Lotka's law in the COVID-19 research between the observed set of data counter to the inverse square law relationship and the hypothetical value of n = 2. Further, it was found that the Lotkas inverse square law was applicable to the dataset.
Keywords: Author Productivity, Research Output, COVID-19, Corona Virus, Lotka’s law
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