Evidence map›Paper›PMID 37216535›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Mutation rates and adaptive variation among the clinically dominant clusters of

Nicoletta Commins, Mark R Sullivan, Kerry McGowen, Evan M Koch, Eric J Rubin, Maha Farhat

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Ribosomal protection as a linezolid resistance mechanism inAntimicrobial agents and chemotherapy · 2026
    Article
  4. The role of colony morphotype in shaping gene essentiality inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Journal of clinical microbiology · 2024
    Article
  8. Population genetic analysis of clinicalFrontiers in cellular and infection microbiology · 2024
    Article
  9. Article
  10. Mutation rates and the molecular epidemiology ofProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Genomic analysis ofFrontiers in microbiology · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Nicoletta ComminsDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115.
Mark R SullivanDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115.ORCID 0000-0001-5765-0459
Kerry McGowenDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115.ORCID 0000-0002-8451-4070
Evan M KochDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-1124-4559
Eric J RubinDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115.
Maha FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-3871-5760
Harvard University · US

Funding

Orchestra: A high performance biomedical supercomputing collaborativeS10RR028832 · NCRR · HARVARD MEDICAL SCHOOL · PI DANUSER, GAUDENZ · 2010 to 2010
$3.7M
NCRR NIH HHS S10 RR028832
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Mycobacterium abscessusHumansMutationMutation RatePhylogenyinfectious diseasepathogen evolutionphylogeneticspopulation genomics

Identifiers

PMID37216535
PMCPMC10235944
OpenAlexW4377289007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.