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Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer
Human respiratory infections caused by coronaviruses can range from mild to deadly. Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have been published on its Omicron variant. In order to remedy this deficiency, this study undertook a bibliometric analysis of the publ...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566376/ https://www.ncbi.nlm.nih.gov/pubmed/36231710 http://dx.doi.org/10.3390/ijerph191912407 |
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author | Ejaz, Hasan Zeeshan, Hafiz Muhammad Ahmad, Fahad Bukhari, Syed Nasir Abbas Anwar, Naeem Alanazi, Awadh Sadiq, Ashina Junaid, Kashaf Atif, Muhammad Abosalif, Khalid Omer Abdalla Iqbal, Abid Hamza, Manhal Ahmed Younas, Sonia |
author_facet | Ejaz, Hasan Zeeshan, Hafiz Muhammad Ahmad, Fahad Bukhari, Syed Nasir Abbas Anwar, Naeem Alanazi, Awadh Sadiq, Ashina Junaid, Kashaf Atif, Muhammad Abosalif, Khalid Omer Abdalla Iqbal, Abid Hamza, Manhal Ahmed Younas, Sonia |
author_sort | Ejaz, Hasan |
collection | PubMed |
description | Human respiratory infections caused by coronaviruses can range from mild to deadly. Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have been published on its Omicron variant. In order to remedy this deficiency, this study undertook a bibliometric analysis of the publishing patterns of studies on the Omicron variant and identified hotspots. Automated transportation, environmental protection, improved healthcare, innovation in banking, and smart homes are just a few areas where machine learning has found use in tackling complicated problems. The sophisticated Scopus database was queried for papers with the term “Omicron” in the title published between January 2020 and June 2022. Microsoft Excel 365, VOSviewer, Bibliometrix, and Biblioshiny from R were used for a statistical analysis of the publications. Over the study period, 1917 relevant publications were found in the Scopus database. Viruses was the most popular in publications for Omicron variant research, with 150 papers published, while Cell was the most cited source. The bibliometric analysis determined the most productive nations, with USA leading the list with the highest number of publications (344) and the highest level of international collaboration on the Omicron variant. This study highlights scientific advances and scholarly collaboration trends and serves as a model for demonstrating global trends in Omicron variant research. It can aid policymakers and medical researchers to fully grasp the current status of research on the Omicron variant. It also provides normative data on the Omicron variant for visualization, study, and application. |
format | Online Article Text |
id | pubmed-9566376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95663762022-10-15 Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer Ejaz, Hasan Zeeshan, Hafiz Muhammad Ahmad, Fahad Bukhari, Syed Nasir Abbas Anwar, Naeem Alanazi, Awadh Sadiq, Ashina Junaid, Kashaf Atif, Muhammad Abosalif, Khalid Omer Abdalla Iqbal, Abid Hamza, Manhal Ahmed Younas, Sonia Int J Environ Res Public Health Article Human respiratory infections caused by coronaviruses can range from mild to deadly. Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have been published on its Omicron variant. In order to remedy this deficiency, this study undertook a bibliometric analysis of the publishing patterns of studies on the Omicron variant and identified hotspots. Automated transportation, environmental protection, improved healthcare, innovation in banking, and smart homes are just a few areas where machine learning has found use in tackling complicated problems. The sophisticated Scopus database was queried for papers with the term “Omicron” in the title published between January 2020 and June 2022. Microsoft Excel 365, VOSviewer, Bibliometrix, and Biblioshiny from R were used for a statistical analysis of the publications. Over the study period, 1917 relevant publications were found in the Scopus database. Viruses was the most popular in publications for Omicron variant research, with 150 papers published, while Cell was the most cited source. The bibliometric analysis determined the most productive nations, with USA leading the list with the highest number of publications (344) and the highest level of international collaboration on the Omicron variant. This study highlights scientific advances and scholarly collaboration trends and serves as a model for demonstrating global trends in Omicron variant research. It can aid policymakers and medical researchers to fully grasp the current status of research on the Omicron variant. It also provides normative data on the Omicron variant for visualization, study, and application. MDPI 2022-09-29 /pmc/articles/PMC9566376/ /pubmed/36231710 http://dx.doi.org/10.3390/ijerph191912407 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ejaz, Hasan Zeeshan, Hafiz Muhammad Ahmad, Fahad Bukhari, Syed Nasir Abbas Anwar, Naeem Alanazi, Awadh Sadiq, Ashina Junaid, Kashaf Atif, Muhammad Abosalif, Khalid Omer Abdalla Iqbal, Abid Hamza, Manhal Ahmed Younas, Sonia Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer |
title | Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer |
title_full | Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer |
title_fullStr | Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer |
title_full_unstemmed | Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer |
title_short | Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer |
title_sort | bibliometric analysis of publications on the omicron variant from 2020 to 2022 in the scopus database using r and vosviewer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566376/ https://www.ncbi.nlm.nih.gov/pubmed/36231710 http://dx.doi.org/10.3390/ijerph191912407 |
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