Evidence map›Paper›PMID 38289130›Full record

ArticleApplied and environmental microbiology2024

High performance

Andrew H Buultjens, Koen Vandelannoote, Karolina Mercoulia, Susan Ballard, Clare Sloggett, Benjamin P Howden, Torsten Seemann, Timothy P Stinear

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microorganisms · 2025
    Article
  5. 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

8 authors.

Andrew H BuultjensDepartment of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-5984-1328
Koen VandelannooteBacterial Phylogenomics Group, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Karolina MercouliaDepartment of Microbiology and Immunology, Microbiology Diagnostic Unit, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Susan BallardDepartment of Microbiology and Immunology, Microbiology Diagnostic Unit, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Clare SloggettDepartment of Microbiology and Immunology, Microbiology Diagnostic Unit, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Benjamin P HowdenCenter for Pathogen Genomics, University of Melbourne, Melbourne, Victoria, Australia.
Torsten SeemannDepartment of Microbiology and Immunology, Microbiology Diagnostic Unit, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Timothy P StinearDepartment of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-0150-123X

Funding

DHAC | National Health and Medical Research Council (NHMRC) GNT1149991DHAC | National Health and Medical Research Council (NHMRC) GNT1194325
6 · The paper itself

Abstract

Fundamental to effective Legionnaires' disease outbreak control is the ability to rapidly identify the environmental source(s) of the causative agent,

Indexed as

Legionella pneumophilaLegionnaires' DiseaseDisease OutbreaksGenomicsHumansMolecular EpidemiologyMultilocus Sequence Typingbacterial genomicsLegionella pneumophilaLegionnaires' diseasemachine learningoutbreak controlpublic healthsource attribution

Identifiers

PMID38289130
PMCPMC10952463

What OpenQuestion holds

Textmetadata
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.