Evidence map›Paper›PMID 22139927›Full record

ArticleNucleic acids research2012

MetaBase--the wiki-database of biological databases.

Dan M Bolser, Pierre-Yves Chibon, Nicolas Palopoli, Sungsam Gong, Daniel Jacob, Victoria Dominguez Del Angel, Dan Swan, Sebastian Bassi, Virginia González, Prashanth Suravajhala and 11 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. A disease-specific convergence of host and Epstein-Barr virus genetics in multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

21 authors.

Dan M BolserPersonal Genomics Institute, Genome Research Foundation, Suwon 443-270, South Korea. dan.bolser@gmail.com
Pierre-Yves Chibon
Nicolas Palopoli
Sungsam Gong
Daniel Jacob
Victoria Dominguez Del Angel
Dan Swan
Sebastian Bassi
Virginia González
Prashanth Suravajhala
Seungwoo Hwang
Paolo Romano
Rob Edwards
Bryan Bishop
John Eargle
Timur Shtatland
Nicholas J Provart
Dave Clements
Daniel P Renfro
Daeui Bhak
Jong Bhak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biology is generating more data than ever. As a result, there is an ever increasing number of publicly available databases that analyse, integrate and summarize the available data, providing an invaluable resource for the biological community. As this trend continues, there is a pressing need to organize, catalogue and rate these resources, so that the information they contain can be most effectively exploited. MetaBase (MB) (http://MetaDatabase.Org) is a community-curated database containing more than 2000 commonly used biological databases. Each entry is structured using templates and can carry various user comments and annotations. Entries can be searched, listed, browsed or queried. The database was created using the same MediaWiki technology that powers Wikipedia, allowing users to contribute on many different levels. The initial release of MB was derived from the content of the 2007 Nucleic Acids Research (NAR) Database Issue. Since then, approximately 100 databases have been manually collected from the literature, and users have added information for over 240 databases. MB is synchronized annually with the static Molecular Biology Database Collection provided by NAR. To date, there have been 19 significant contributors to the project; each one is listed as an author here to highlight the community aspect of the project.

Indexed as

BiologyDatabases, FactualInternetSystems Integration

Identifiers

PMID22139927
PMCPMC3245051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.