Evidence map›Paper›PMID 27919552›Full record

ArticleTrends in microbiology2017

Decoding the Ecological Function of Accessory Genome.

Michelle Qiu Carter

Abstract readComment
PubMed Publisher
In one paragraph

Article in Trends in microbiology, 2017. 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. Article
  2. The Role ofToxins · 2020
    Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Michelle Qiu CarterUS Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Produce Safety and Microbiology Research Unit, Albany, CA, USA. Electronic address: michelle.carter@ars.usda.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli O157:H7 primarily resides in cattle asymptomatically, and can be transmitted to humans through food. A study by Lupolova et al. applied a machine-learning approach to complex pan-genome information and predicted that only a small subset of bovine isolates have the potential to cause diseases in humans.

Indexed as

AnimalsCattleEscherichia coli InfectionsEscherichia coli O157Escherichia coli ProteinsFood MicrobiologyGenome, BacterialGenomic IslandsHumansPhosphoproteinsShiga ToxinVirulence FactorsEscherichia coli ProteinsLEE protein, E coliPhosphoproteinsShiga ToxinVirulence Factorsaccessory genomeenterohemorrhagic Escherichia colipan-genomeShiga toxin-producing Escherichia colisupport vector machinezoonotic potential

Identifiers

What OpenQuestion holds

Textmetadata
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.