Evidence map›Paper›PMID 28491277›Full record

ArticleF1000Research2016

Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunity.

William W Lau, Rachel Sparks, OMiCC Jamboree Working Group, John S Tsang

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2016. 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
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

William W Lau *Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, USA.
Rachel Sparks *Systems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
OMiCC Jamboree Working Group
John S TsangSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-3186-3047
National Institutes of Health · USNational Institute of Allergy and Infectious Diseases · US

Funding

Text Analytics, Machine Learning & High Performance ComputingZIHCT000200 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI JOHNSON, CALVIN A · 2009 to 2019
$25.5M
Integrative analysis and modeling of human immune responses and pathologiesZIAAI001152 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI TSANG, JOHN · 2011 to 2022
$14.1M
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

autoimmunitycrowdsourcinggene expressionhuman and mouse comparisonmeta-analysismouse models of diseasepublic data

Identifiers

PMID28491277
PMCPMC5399965
OpenAlexW2566312467

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.