Evidence map›Paper›PMID 19521872›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2009

Multilocus sequence typing.

Ana Belén Ibarz Pavón, Martin C J Maiden

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  3. Article
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  6. Article
  7. Applied and environmental microbiology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Molecular Epidemiology ofPathogens (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Staphylococcus aureus genotype variation among and within periprosthetic joint infections.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  20. Emergence and Transmission of Daptomycin and Vancomycin-Resistant Enterococci Between Patients and Hospital Rooms.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    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

2 authors.

Ana Belén Ibarz PavónDepartment of Zoology and Peter Medawar Building for Pathogen Research, University of Oxford, South Parks Road, , Oxford, UK.
Martin C J Maiden

Funding

Wellcome Trust 047072Wellcome Trust 087622
6 · The paper itself

Abstract

Multilocus sequence typing (MLST) was first proposed in 1998 as a typing approach that enables the unambiguous characterization of bacterial isolates in a standardized, reproducible, and portable manner using the human pathogen Neisseria meningitidis as the exemplar organism. Since then, the approach has been applied to a large and growing number of organisms by public health laboratories and research institutions. MLST data, shared by investigators over the world via the Internet, have been successfully exploited in applications ranging from molecular epidemiological investigations to population biology and evolutionary analyses. This chapter describes the practical steps in the development and application of an MLST scheme and some of the common tools and techniques used to obtain the maximum benefit from the data. Considerations pertinent to the implementation of high-capacity MLST projects (i.e., those involving thousands of isolates) are discussed.

Indexed as

BacteriaBacterial Typing TechniquesDatabases, Nucleic AcidDNA, BacterialElectrophoresis, Agar GelEvolution, MolecularGenetics, PopulationHumansModels, GeneticMolecular EpidemiologyNeisseria meningitidisNucleic Acid Amplification TechniquesPolymerase Chain ReactionSequence Analysis, DNADNA, Bacterial

Identifiers

PMID19521872
PMCPMC3988353

What OpenQuestion holds

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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.