Evidence map›Paper›PMID 23221298›Full record

ArticleDatabase : the journal of biological databases and curation2012

Building an efficient curation workflow for the Arabidopsis literature corpus.

Donghui Li, Tanya Z Berardini, Robert J Muller, 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  12. BC4GO: a full-text corpus for the BioCreative IV GO task.Database : the journal of biological databases and curation · 2014
    Article
  13. Manually curated database of rice proteins.Nucleic acids research · 2014
    Article
  14. Article
  15. Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing.Database : the journal of biological databases and curation · 2014
    Article
  16. Overview of the gene ontology task at BioCreative IV.Database : the journal of biological databases and curation · 2014
    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.

Donghui LiDepartment of Plant Biology, The Arabidopsis Information Resource, Carnegie Institution for Science, Stanford, CA 94305, USA.
Tanya Z Berardini
Robert J Muller
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

TAIR (The Arabidopsis Information Resource) is the model organism database (MOD) for Arabidopsis thaliana, a model plant with a literature corpus of about 39 000 articles in PubMed, with over 4300 new articles added in 2011. We have developed a literature curation workflow incorporating both automated and manual elements to cope with this flood of new research articles. The current workflow can be divided into two phases: article selection and curation. Structured controlled vocabularies, such as the Gene Ontology and Plant Ontology are used to capture free text information in the literature as succinct ontology-based annotations suitable for the application of computational analysis methods. We also describe our curation platform and the use of text mining tools in our workflow. Database URL: www.arabidopsis.org

Indexed as

Databases, GeneticPeriodicals as TopicWorkflowArabidopsisData MiningGenes, PlantMolecular Sequence AnnotationPhenotypePolymorphism, GeneticSearch EngineVocabulary, Controlled

Identifiers

PMID23221298
PMCPMC3515862

What OpenQuestion holds

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LicenceCC BY-NC
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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.