Evidence map›Paper›PMID 39803434›Full record

ArticlebioRxiv : the preprint server for biology2025

Ten species comprise half of the bacteriology literature, leaving most species unstudied.

Paul A Jensen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

1 author.

Paul A JensenDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

Funding

Microbial multi-stress responses: from intracellular networks to communities - Equipment SupplementR35GM138210 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JENSEN, PAUL ANTHONY · 2020 to 2024
$2.0M
NIGMS NIH HHS R35 GM138210
6 · The paper itself

Abstract

Microbiology research has historically focused on a few species of model organisms. Our bibliographic analysis finds extreme bias in the distribution of bacteriology research across species, with half of all papers referencing only ten species and 74% of all known species remaining unstudied. Microbiologists will need to broaden their perspective and embrace complexity to develop a complete understanding of the microbial world.

Identifiers

PMID39803434
PMCPMC11722297

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.