Evidence map›Paper›PMID 36231710›Full record

ArticleInternational journal of environmental research and public health2022

Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer.

Hasan Ejaz, Hafiz Muhammad Zeeshan, Fahad Ahmad, Syed Nasir Abbas Bukhari, Naeem Anwar, Awadh Alanazi, Ashina Sadiq, Kashaf Junaid, Muhammad Atif, Khalid Omer Abdalla Abosalif and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Digital Competence of Rural Teachers in Depopulated Regions of Spain: A Bibliometric Review.European journal of investigation in health, psychology and education · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Hasan EjazDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-6185-2042
Hafiz Muhammad ZeeshanDepartment of Computer Sciences, National College of Business Administration and Economics, Lahore 54700, Punjab, Pakistan.
Fahad AhmadDepartment of Basic Sciences, Deanship of Common First Year, Jouf University, Sakaka 72388, Saudi Arabia.
Syed Nasir Abbas BukhariDepartment of Pharmaceutical Chemistry, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0001-8125-7972
Naeem AnwarAllied Health Department, College of Health and Sport Sciences, University of Bahrain, Zallaq 32038, Bahrain.ORCID 0000-0001-8638-2158
Awadh AlanaziDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-6750-4815
Ashina SadiqDepartment of Computer Science, Lahore Leads University, Lahore 54000, Punjab, Pakistan.
Kashaf JunaidSchool of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK.ORCID 0000-0001-5328-4105
Muhammad AtifDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-8921-4376
Khalid Omer Abdalla AbosalifDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia.
Abid IqbalPrince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0002-6371-7020
Manhal Ahmed HamzaDepartment of Medical Microbiology, Faculty of Medical Laboratory Sciences, Omdurman Islamic University, Omdurman 14415, Sudan.
Sonia YounasHKU-Pasteur Research Pole, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19SARS-CoV-2BibliometricsHumansPublicationsbibliometricsBibliometrix packageBiblioshiny applicationOmicron variantRScopusVOSviewer

Identifiers

PMID36231710
PMCPMC9566376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.