Evidence map›Paper›PMID 37435357›Full record

ArticleNAR genomics and bioinformatics2023

Mge-cluster: a reference-free approach for typing bacterial plasmids.

Sergio Arredondo-Alonso, Rebecca A Gladstone, Anna K Pöntinen, João A Gama, Anita C Schürch, Val F Lanza, Pål Jarle Johnsen, Ørjan Samuelsen, Gerry Tonkin-Hill, Jukka Corander

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Global spread of carbapenem-resistantOne health (Amsterdam, Netherlands) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A One Health study ofMicrobial genomics · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. No evidence of multidrug-resistantMicrobiology spectrum · 2025
    Observational
  14. Review
  15. Lineage-specific evolution and resistance-virulence divergence inAntimicrobial agents and chemotherapy · 2025
    Article
  16. Plasmid diversity ofMicrobiology spectrum · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Sergio Arredondo-AlonsoDepartment of Biostatistics, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0002-4445-2442
Rebecca A GladstoneDepartment of Biostatistics, University of Oslo, Oslo, Norway.
Anna K PöntinenDepartment of Biostatistics, University of Oslo, Oslo, Norway.
João A GamaDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Anita C SchürchDepartment of Medical Microbiology, UMC Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-1894-7545
Val F LanzaCIBERINFEC, Madrid, Spain.
Pål Jarle JohnsenDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Ørjan SamuelsenNorwegian National Advisory Unit on Detection of Antimicrobial Resistance, Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0002-5525-2614
Gerry Tonkin-HillDepartment of Biostatistics, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0003-4397-2224
Jukka CoranderDepartment of Biostatistics, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrachromosomal elements of bacterial cells such as plasmids are notorious for their importance in evolution and adaptation to changing ecology. However, high-resolution population-wide analysis of plasmids has only become accessible recently with the advent of scalable long-read sequencing technology. Current typing methods for the classification of plasmids remain limited in their scope which motivated us to develop a computationally efficient approach to simultaneously recognize novel types and classify plasmids into previously identified groups. Here, we introduce

Identifiers

PMID37435357
PMCPMC10331934

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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.