A bibliometric analysis of Pubmed literature on coronavirus: All time period

Abstract

In late December 2019, there are several reported pneumonia-liked cases with the new strain coronavirus in China. The World Health Organization then assigned this new disease with COVID-19. Coronavirus has been declared as the most responsible agent for a recent public health emergency (PHEIC) in early 2020. The need for further research regarding coronavirus is essential, considering its high threat of public health without any available specific antiviral or vaccine yet. The growth and development of coronavirus related research and thematic trends are still unknown. This study aimed to depict the bibliographic trend of coronavirus all time and pictured the coronavirus research patterns and dynamics throughout the years. Therefore, the objective of this study was aimed to generate a comprehensive bibliometric analysis of coronavirus infection, research topic dynamic and the development of Medical subject heading (MeSH). The study retrieved data from PubMed for the source. Pubmed is chosen because it is the biggest freely available health and medicine electronic database. The R software and Microsoft Excel used for the data analysis. For data visualization, it extracted from VOS viewer. The graph from VOS viewer used as a source for social network analysis.