Evidence map›Paper›PMID 22859749›Full record

ArticleDatabase : the journal of biological databases and curation2012

Assessment of community-submitted ontology annotations from a novel database-journal partnership.

Tanya Z Berardini, Donghui Li, Robert Muller, Raymond Chetty, Larry Ploetz, Shanker Singh, April Wensel, Eva Huala

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2012. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing.Database : the journal of biological databases and curation · 2014
    Article
  11. Article
  12. Review
  13. Building an efficient curation workflow for the Arabidopsis literature corpus.Database : the journal of biological databases and curation · 2012
    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

8 authors.

Tanya Z BerardiniThe Arabidopsis Information Resource, Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA.
Donghui Li
Robert Muller
Raymond Chetty
Larry Ploetz
Shanker Singh
April Wensel
Eva Huala

Funding

Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
NHGRI NIH HHS 5P41HG002273-09
6 · The paper itself

Abstract

As the scientific literature grows, leading to an increasing volume of published experimental data, so does the need to access and analyze this data using computational tools. The most commonly used method to convert published experimental data on gene function into controlled vocabulary annotations relies on a professional curator, employed by a model organism database or a more general resource such as UniProt, to read published articles and compose annotation statements based on the articles' contents. A more cost-effective and scalable approach capable of capturing gene function data across the whole range of biological research organisms in computable form is urgently needed. We have analyzed a set of ontology annotations generated through collaborations between the Arabidopsis Information Resource and several plant science journals. Analysis of the submissions entered using the online submission tool shows that most community annotations were well supported and the ontology terms chosen were at an appropriate level of specificity. Of the 503 individual annotations that were submitted, 97% were approved and community submissions captured 72% of all possible annotations. This new method for capturing experimental results in a computable form provides a cost-effective way to greatly increase the available body of annotations without sacrificing annotation quality. Database URL: www.arabidopsis.org.

Indexed as

Databases, FactualInternetPeriodicals as TopicVocabulary, ControlledAbstracting and IndexingArabidopsisComputational BiologyModels, TheoreticalMolecular Sequence AnnotationUser-Computer Interface

Identifiers

PMID22859749
PMCPMC3410254

What OpenQuestion holds

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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.