Altmetric Analysis of The Most Cited 100 Articles on COVID-19 Infection in Children

An Altmetric Analysis of COVID 19 Infection in Children

Abstract

Aim:  Severe Acute Respiratory Syndrome Coronavirus-2  infections among children cause less severe illness and fewer deaths than adults. There has been a significant increase in academic research on COVID-19 during the pandemic period. Altmetric analysis is a method for measuring the social impact of academic publications. In this study, the top 100 publications on COVID-19 in children with highest Altmetric Attention Scores were analysed to guide researchers during the COVID-19 pandemic.

Material and Methods: We found the 100 top-cited articles (T100) list from the Web of Science database. Journal title, author name, publication year and altmetric attention scores were examined. The altmetric attention scores were taken from the Altmetric.com website. Bibliometric maps were created using VOSviewer software.

Results: We found 103750 publications with the search term "COVID- 19" in  the Web of Science analysis. After the term "children" was added, the total number of publications decreased to 4535. There were 62 original articles, 15 review articles, 12 editorials and 11 letters in the T100 list. The T100 list included 62 original articles, 15 review articles, 12 editorials, and 11 letters. On Twitter, T100 list articles were shared 94 times. The most cited article “Epidemiology of COVID-19 Among Children in China” by Dong et al’s was published in the Pediatrics journal.

Conclusion: This study provides valuable information about research topics in the context of COVID-19 in children and their impact on the academic literature and social media. We contributed to the distribution of scientific knowledge regarding COVID-19 in children via digital media in our study, guided researchers, and gave recommendations for future investigations.