Evidence map›Paper›PMID 33737356›Full record

ArticleMicrobiology resource announcements2021

Deletion Mutants, Archived Transposon Library, and Tagged Protein Constructs of the Model Sulfate-Reducing Bacterium Desulfovibrio vulgaris Hildenborough.

Judy D Wall, Grant M Zane, Thomas R Juba, Jennifer V Kuehl, Jayashree Ray, Swapnil R Chhabra, Valentine V Trotter, Maxim Shatsky, Kara B De León, Kimberly L Keller and 4 more

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Reconstitution of a biofilm adhesin system from a sulfate-reducing bacterium inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. HmBio · 2023
    Article
  5. Article
  6. mLife · 2022
    Review
  7. 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

14 authors.

Judy D WallBiochemistry Division, University of Missouri, Columbia, Missouri, USA wallj@missouri.edu.
Grant M ZaneBiochemistry Division, University of Missouri, Columbia, Missouri, USA.
Thomas R JubaBiochemistry Division, University of Missouri, Columbia, Missouri, USA.
Jennifer V KuehlPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Jayashree RayEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Swapnil R ChhabraEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Valentine V TrotterLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Maxim ShatskyPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Kara B De LeónBiochemistry Division, University of Missouri, Columbia, Missouri, USA.
Kimberly L KellerBiochemistry Division, University of Missouri, Columbia, Missouri, USA.
Kelly S BenderBiochemistry Division, University of Missouri, Columbia, Missouri, USA.
Gareth ButlandLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Adam P ArkinPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Adam M DeutschbauerPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dissimilatory sulfate-reducing

Identifiers

PMID33737356
PMCPMC7975874

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.