Evidence map›Paper›PMID 38197644›Full record

ArticleMicrobiology spectrum2024

Analysis of SARS-CoV-2 genome evolutionary patterns.

Shubhangi Gupta, Deepanshu Gupta, Sonika Bhatnagar

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. On the SARS-CoV-2 Variants.Infectious disease reports · 2024
    Article
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

3 authors.

Shubhangi GuptaDepartment of Biological Sciences and Engineering, Computational and Structural Biology Laboratory, Netaji Subhas University of Technology, Dwarka, New Delhi, India.ORCID 0000-0001-6349-806X
Deepanshu GuptaDivision of Biotechnology, Computational and Structural Biology Laboratory, Netaji Subhas Institute of Technology, Dwarka, New Delhi, India.
Sonika BhatnagarDepartment of Biological Sciences and Engineering, Computational and Structural Biology Laboratory, Netaji Subhas University of Technology, Dwarka, New Delhi, India.ORCID 0000-0002-8818-4240

Funding

Indian Council of Medical Research (ICMR) BMI/12(44)/2021
6 · The paper itself

Abstract

The spread of SARS-CoV-2 virus accompanied by public availability of abundant sequence data provides a window for the determination of viral evolutionary patterns. In this study, SARS-CoV-2 genome sequences were collected from seven countries in the period January 2020-December 2022. The sequences were classified into three phases, namely, pre-vaccination, post-vaccination, and recent period. Comparison was performed between these phases based on parameters like mutation rates, selection pressure (d

Indexed as

COVID-19GenomicsHumansMutationSARS-CoV-2evolutiongenomemutation ratesSARS-CoV-2selection pressurevaccination

Identifiers

PMID38197644
PMCPMC10846092

What OpenQuestion holds

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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.