Evidence map›Paper›PMID 22622767›Full record

ReviewNeuroinformatics2012

Sharing heterogeneous data: the national database for autism research.

Dan Hall, Michael F Huerta, Matthew J McAuliffe, Gregory K Farber

Open access · greenAbstract readReview
In one paragraph

Review in Neuroinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 3 syntheses or guidelines pooled it, 156 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Reliability of the Commonly Used and Newly-Developed Autism Measures.Journal of autism and developmental disorders · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging.Autism research : official journal of the International Society for Autism Research · 2021
    Article

23 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Dan HallOMNITEC Solutions, Inc., 6001 Executive Boulevard, Suite 7161, Rockville, MD 20892-9640, USA. halldan@mail.nih.gov
Michael F Huerta
Matthew J McAuliffe
Gregory K Farber
Center for Information Technology · USNational Institutes of Health · USSC Solutions (United States) · US

Funding

Biomedical Image Analysis and InformaticsZIHCT000272 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MCAULIFFE, MATTHEW · 2012 to 2015
$3.5M
Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

The National Database for Autism Research (NDAR) is a secure research data repository designed to promote scientific data sharing and collaboration among autism spectrum disorder investigators. The goal of the project is to accelerate scientific discovery through data sharing, data harmonization, and the reporting of research results. Data from over 25,000 research participants are available to qualified investigators through the NDAR portal. Summary information about the available data is available to everyone through that portal.

Indexed as

Autistic DisorderBiomedical ResearchCooperative BehaviorInformation DisseminationAnimalsDatabases, FactualHumans

Identifiers

PMID22622767
PMCPMC4219200
OpenAlexW1979070592

What OpenQuestion holds

Textmetadata
LicenceTDM
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.