Evidence map›Paper›PMID 34234115›Full record

ArticleNature communications2021

Reply to: "Re-evaluating the evidence for a universal genetic boundary among microbial species".

Luis M Rodriguez-R, Chirag Jain, Roth E Conrad, Srinivas Aluru, Konstantinos T Konstantinidis

Abstract readLetterComment
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in microbiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Host genotype-driven shifts in theFrontiers in microbiology · 2025
    Article
  12. Prevalence of NonpathogenicTransboundary and emerging diseases · 2025
    Article
  13. Article
  14. A hotspot of diversity: novelInternational journal of systematic and evolutionary microbiology · 2024
    Article
  15. Microorganisms · 2024
    Article
  16. Machine learning for microbiologists.Nature reviews. Microbiology · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Luis M Rodriguez-RSchool of Civil and Environmental Engineering, and School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0001-7603-3093
Chirag JainDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India.
Roth E ConradSchool of Civil and Environmental Engineering, and School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Srinivas AluruSchool of Computational Science and Engineering, and Institute for Data Engineering and Science, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-4279-469X
Konstantinos T KonstantinidisSchool of Civil and Environmental Engineering, and School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA. kostas.konstantinidis@gatech.edu.ORCID 0000-0002-0954-4755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ParturitionFemaleHumansPregnancy

Identifiers

PMID34234115
PMCPMC8263725

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.