A Bibliometric Analysis of Pneumonia Articles (2016-2020)

Abstract

Lower respiratory infections are one of the leading factors of death in the world. During the COVID-19 pandemic, pneumonia comes to the fore from respiratory diseases. We aim to close the information gap regarding the characteristics of pneumonia articles published between the years 2016-2020 and indexed in the Web of Science (WoS) database by bibliometric analysis.
 We collected the data of this study from the articles published in the WoS, during 2016-2020 by using “pneumonia” as the keyword. Articles were found among the "Science Citation Index Expanded" of the WoS advanced search engine including all the titles of organizations, editors, research areas, conferences, and book series. The number of articles included in the study was 24,896. MS Excel, Python, MS Power BI, and Flourish web site were used for data extraction and visualization.
 This bibliometric analysis showed that while the number of articles published regarding pneumonia was more stable between 2016 and 2019 it has increased dramatically in 2020. The most important reason for this increase should be the COVID-19 pandemic that emerged in the last weeks of 2019. We observed that China has increased its pneumonia-related publications rapidly in recent years.