Evidence map›Paper›PMID 28748045›Full record

ReviewComputational and structural biotechnology journal2017

John R Stevens, Todd R Jones, Michael Lefevre, Balasubramanian Ganesan, Bart C Weimer

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Computational and structural biotechnology journal, 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. Article
  3. Microbiome data science.Journal of biosciences · 2019
    Review
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

5 authors.

John R StevensDepartment of Mathematics and Statistics, Utah State University, Logan, UT, USA.
Todd R JonesDepartment of Mathematics and Statistics, Utah State University, Logan, UT, USA.
Michael LefevreUSTAR Applied Nutrition Research Team, Department of Nutrition, Dietetics, and Food Science, Utah State University, Logan, UT, USA.
Balasubramanian GanesanWestern Dairy Center, Department of Nutrition, Dietetics, and Food Science, Utah State University, Logan, UT, USA.
Bart C WeimerSchool of Veterinary Medicine, University of California, Davis, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial community analysis experiments to assess the effect of a treatment intervention (or environmental change) on the relative abundance levels of multiple related microbial species (or operational taxonomic units) simultaneously using high throughput genomics are becoming increasingly common. Within the framework of the evolutionary phylogeny of all species considered in the experiment, this translates to a statistical need to identify the phylogenetic branches that exhibit a significant consensus response (in terms of operational taxonomic unit abundance) to the intervention. We present the R software package

Indexed as

Microbial community analysisMicrobial informaticsMicrobiomePhylogenetic tree

Identifiers

PMID28748045
PMCPMC5512180

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.