Evidence map›Paper›PMID 29774017›Full record

ArticleFrontiers in microbiology2018

Identifying

Ying Wang, Lei Fu, Jie Ren, Zhaoxia Yu, Ting Chen, Fengzhu Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Elucidating Transitions ofJournal of computational biology : a journal of computational molecular cell biology · 2026
    Article
  3. Review
  4. Article
  5. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 3 institutions in 2 countries.

Ying WangDepartment of Automation, Xiamen University, Xiamen, China.
Lei FuDepartment of Automation, Xiamen University, Xiamen, China.
Jie RenMolecular and Computational Biology Program, University of Southern California, Los Angeles, CA, United States.
Zhaoxia YuDepartment of Statistics, University of California, Irvine, Irvine, CA, United States.
Ting ChenMolecular and Computational Biology Program, University of Southern California, Los Angeles, CA, United States.
Fengzhu SunMolecular and Computational Biology Program, University of Southern California, Los Angeles, CA, United States.
University of Southern California · USXiamen University · CNUniversity of California, Irvine · US

Funding

Computational Studies of Virus-host Interactions Using Metagenomics Data and ApplicationsR01GM120624 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AHLGREN, NATHAN, SUN, FENGZHU · 2017 to 2020
$1.7M
NIGMS NIH HHS R01 GM120624
6 · The paper itself

Abstract

Comparing metagenomic samples is crucial for understanding microbial communities. For different groups of microbial communities, such as human gut metagenomic samples from patients with a certain disease and healthy controls, identifying

Indexed as

classificationdisease predictiongroup-specific sequencelong k-mermetagenomicsmicrobial community

Identifiers

PMID29774017
PMCPMC5943621
OpenAlexW2801843085

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.