A bibliometric analysis using VOSviewer of publications on COVID-19

2020 Annals of Translational Medicine. All rights reserved..

BACKGROUND: As a global pandemic, COVID-19 has aroused great concern in the last few months and a growing number of related researches have been published. Therefore, a bibliometric analysis of these publications may provide a direction of hot topics and future research trends.

METHODS: The global literatures about COVID-19 published between 2019 and 2020 were scanned in the Web of Science collection database. "COVID-19" "Novel Coronavirus" "2019-nCoV" and "SARS-CoV-2" were used as the keywords to reach the relevant publications. VOSviewer was applied to perform the bibliometric analysis of these articles.

RESULTS: Totally 3,626 publications on the topic of COVID-19 were identified and "COVID-19" with a total link strength of 2,649 appeared as the most frequent keyword, which had a strong link to "pneumonia" and "epidemiology". The mean citation count of the top 100 most cited articles was 96 (range, 26-883). Most of them were descriptive studies and concentrated on the clinical features. The highest-ranking journal was British medical journal with 211 publications and the most cited journal was Lancet with 2,485 citation counts. Eleven articles written by Christian Drosten from Berlin Institute of Virology have been cited for 389 times and 40 articles from Chinese Academy of Sciences have been cited for 1,597 times which are the most cited author and organization. The number of collaborators with China is 44 and the total link strength is 487. The main partners of China are USA, England and Germany. The published literatures have focused on three topics: disease management, clinical features and pathogenesis.

CONCLUSIONS: The current growth trends predict a large increase in the number of global publications on COVID-19. China made the most outstanding contribution within this important field. Disease treatment, spike protein and vaccine may be hotspots in the future.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Annals of translational medicine - 8(2020), 13 vom: 05. Juli, Seite 816

Sprache:

Englisch

Beteiligte Personen:

Yu, Yuetian [VerfasserIn]
Li, Yujie [VerfasserIn]
Zhang, Zhongheng [VerfasserIn]
Gu, Zhichun [VerfasserIn]
Zhong, Han [VerfasserIn]
Zha, Qiongfang [VerfasserIn]
Yang, Luyu [VerfasserIn]
Zhu, Cheng [VerfasserIn]
Chen, Erzhen [VerfasserIn]

Links:

Volltext

Themen:

Bibliometric analysis
Coronavirus disease 2019 (COVID-19)
Journal Article
Novel coronavirus
SARS-CoV-2
Trends

Anmerkungen:

Date Revised 16.04.2022

published: Print

Citation Status PubMed-not-MEDLINE

doi:

10.21037/atm-20-4235

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM313683336