ArticleInternational journal of environmental research and public health2023
Bibliometric Analysis of Global Scientific Production on COVID-19 and Vaccines.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Factors Associated with Missed Opportunities for Vaccination in Children During the First Year of Life: A Cross-Sectional Study.Vaccines · 2025Article
- Global Research Trends on Water Contamination by Microorganisms: A Bibliometric Analysis.International journal of environmental research and public health · 2025Article
- Review
- Why is it important to implement meta-research in universities and institutes with medical research activities?Frontiers in research metrics and analytics · 2025Article
- Treatment of Parkinson's disease by deep brain stimulation: a bibliometric analysis.Sao Paulo medical journal = Revista paulista de medicina · 2024Article
- Editorial: Immunological aspects of emerging and re-emerging zoonoses.Frontiers in immunology · 2024Article
- Impact, Trends, and Visibility of Scientific Publications on Neurological Effects of COVID-19 Vaccine: A Scientometric Analysis.Journal of global infectious diseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This bibliometric analysis aims to analyze the global scientific production of COVID-19 and vaccines. First, a search for scientific articles was performed using the advanced query in the Web of Science™ database, more precisely in its core collection, on 18 February 2023. Data from 7754 articles were analyzed using the Bibliometrix R package and the Biblioshiny application. The evaluated articles were published mainly in 2022 (60%). The scientific journals that published the most about COVID-19 and vaccines were "Vaccines", "Vaccine" and "Human Vaccines & Immunotherapeutics". The University of Oxford was the most productive institution, with the authors of the articles mainly originating from the United States, China and the United Kingdom. The United States, despite having carried out the most significant number of collaborations, published mainly with local researchers. The 15 most cited articles and the KeyWords Plus™ evidenced the focus of the published articles on the safety and efficacy of vaccines against COVID-19, as well as on the evaluation of vaccine acceptance, more specifically on vaccine hesitancy. Research funding came primarily from US government agencies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.