SynthesisFrontiers in public health2022
A bibliometric analysis of the 100 most cited articles describing SARS-CoV-2 variants.
Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- COVID-19 epidemic in Panama.Heliyon · 2024Article
- COVID-19 in 16 West African Countries: An Assessment of the Epidemiology and Genetic Diversity of SARS-CoV-2 after Four Epidemic Waves.The American journal of tropical medicine and hygiene · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with mutations in the spike protein has risen concerns about the efficacy of infection- or vaccine-induced antibodies and has posed a serious threat to global public health, education, travel and economy. Few studies have described the detailed characterizations of highly cited articles on SARS-CoV-2 variants. Objective: To identify and characterize the 100 most-cited articles in SARS-CoV-2 variants research. Design and methods: Articles published recently were extracted from the web of science core collection database using a query based on MeSH terms and topics of SARS-CoV-2 and variants. Characteristics of the 100 most-cited articles were analyzed Results: The majority of articles (66%) were published in 2021. Number of citations of the 100 most cited articles ranged from 1720 to 75 (median: 178.5). Mutations in the S protein such as D614G mutation and the B.1.1.7 (UK) and B.1.351 (South Africa) were the dominant variants in the 100 most cited articles. The United States, the United Kingdom, and South Africa had the strongest collaboration in the contribution of publication. Science, Cell, Nature and New England Journal of Medicine were mostly cited and the main direction in these top journals were vaccine neutralizing tests and efficacy evaluation studies. Response of antibody neutralization tests against variants was always weakened due to the presence of variants but the results of clinical trials were encouraging. Genomics information, spike protein structure confirmation and neutralization studies evaluating antibody resistance were highly represented in the 100 most cited articles in SARS-CoV-2 variants literature. Conclusions and relevance: Altogether, genomic information, epidemiology, immune neutralization, and vaccine efficacy studies of COVID-19 variants are the main research orientations in these articles and relevant results have been published in influential journals. Given the continuous evolution of the SARS-CoV-2 and the constant development in our understanding of the impact of variants, current working strategies and measures may be periodically adjusted.
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.