Evidence map›Paper›PMID 36304272›Full record

ArticleFrontiers in bioinformatics2022

Ulas Karaoz, Eoin L Brodie

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Genomic insights from a long-read assembly of a deep-sea Chromohalobacter israelensis strain from Santos Basin pockmarks field.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  3. Article
  4. Article
  5. International journal of systematic and evolutionary microbiology · 2026
    Article
  6. AnmSystems · 2026
    Article
  7. Article
  8. Article
  9. Noncanonical genetic markers resolve the pre-GOE emergence of aerobic bacteria in Earth's history.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Article
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  20. 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.

Ulas KaraozEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Eoin L BrodieEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote sensing approaches have revolutionized the study of macroorganisms, allowing theories of population and community ecology to be tested across increasingly larger scales without much compromise in resolution of biological complexity. In microbial ecology, our remote window into the ecology of microorganisms is through the lens of genome sequencing. For microbial organisms, recent evidence from genomes recovered from metagenomic samples corroborate a highly complex view of their metabolic diversity and other associated traits which map into high physiological complexity. Regardless, during the first decades of this

Indexed as

ecological strategyfitness traitsfunctional guildsfunctional traitsmicrobial genomeprofile hidden markov modeltrait-based modeltrait inference workflow

Identifiers

PMID36304272
PMCPMC9580909

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.