Evidence map›Paper›PMID 24704917›Full record

ArticleGenes2012

A Gene-By-Gene Approach to Bacterial Population Genomics: Whole Genome MLST of Campylobacter.

Samuel K Sheppard, Keith A Jolley, Martin C J Maiden

Open access · goldAbstract read
In one paragraph

Article in Genes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
10.5field-weighted citation impact, top 2% of its field
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

91 citing papers in PubMed, 162 citations in OpenAlex.

  1. Article
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  6. β-Lactamase diversity inAntimicrobial agents and chemotherapy · 2025
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  7. β-Lactamase diversity inAntimicrobial agents and chemotherapy · 2025
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  9. Capturing clinically relevantMicrobial genomics · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Erythromycin resistance of clinicalFrontiers in microbiology · 2023
    Article
  18. Article
  19. Review
  20. Article

31 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Samuel K SheppardDepartment of Zoology, The Tinbergen Building, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. samuel.sheppard@zoo.ox.ac.uk.
Keith A JolleyDepartment of Zoology, The Tinbergen Building, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. keith.jolley@zoo.ox.ac.uk.
Martin C J MaidenDepartment of Zoology, The Tinbergen Building, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. martin.maiden@zoo.ox.ac.uk.
University of Oxford · GB

Funding

Medical Research Council G0801929Wellcome Trust 087622
6 · The paper itself

Abstract

Campylobacteriosis remains a major human public health problem world-wide. Genetic analyses of Campylobacter isolates, and particularly molecular epidemiology, have been central to the study of this disease, particularly the characterization of Campylobacter genotypes isolated from human infection, farm animals, and retail food. These studies have demonstrated that Campylobacter populations are highly structured, with distinct genotypes associated with particular wild or domestic animal sources, and that chicken meat is the most likely source of most human infection in countries such as the UK. The availability of multiple whole genome sequences from Campylobacter isolates presents the prospect of identifying those genes or allelic variants responsible for host-association and increased human disease risk, but the diversity of Campylobacter genomes present challenges for such analyses. We present a gene-by-gene approach for investigating the genetic basis of phenotypes in diverse bacteria such as Campylobacter, implemented with the BIGSdb software on the pubMLST.org/campylobacter website.

Identifiers

PMID24704917
PMCPMC3902793
OpenAlexW2075378012

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.