Evidence map›Paper›PMID 20167071›Full record

ArticleBiology direct2010

Community annotation in biology.

Raja Mazumder, Darren A Natale, Jessica Anne Ecalnir Julio, Lai-Su Yeh, Cathy H Wu

Abstract read
In one paragraph

Article in Biology direct, 2010. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Updating and curating metabolic pathways of TB.Tuberculosis (Edinburgh, Scotland) · 2013
    Review
  10. On Crowd-verification of Biological Networks.Bioinformatics and biology insights · 2013
    Article
  11. Assessment of community-submitted ontology annotations from a novel database-journal partnership.Database : the journal of biological databases and curation · 2012
    Article
  12. Directly e-mailing authors of newly published papers encourages community curation.Database : the journal of biological databases and curation · 2012
    Article
  13. Article
  14. Article
  15. Article
  16. GermOnline 4.0 is a genomics gateway for germline development, meiosis and the mitotic cell cycle.Database : the journal of biological databases and curation · 2010
    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

5 authors.

Raja MazumderDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20007, USA. rm285@georgetown.edu
Darren A Natale
Jessica Anne Ecalnir Julio
Lai-Su Yeh
Cathy H Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledAttempts to engage the scientific community to annotate biological data (such as protein/gene function) stored in databases have not been overly successful. There are several hypotheses on why this has not been successful but it is not clear which of these hypotheses are correct. In this study we have surveyed 50 biologists (who have recently published a paper characterizing a gene or protein) to better understand what would make them interested in providing input/contributions to biological databases. Based on our survey two things become clear: a) database managers need to proactively contact biologists to solicit contributions; and b) potential contributors need to be provided with an easy-to-use interface and clear instructions on what to annotate. Other factors such as 'reward' and 'employer/funding agency recognition' previously perceived as motivators was found to be less important. Based on this study we propose community annotation projects should devote resources to direct solicitation for input and streamlining of the processes or interfaces used to collect this input. REVIEWERS: This article was reviewed by I. King Jordan, Daniel Haft and Yuriy Gusev.

Indexed as

BiologyCooperative BehaviorDatabases, GeneticResearch PersonnelData CollectionWorkforce

Identifiers

PMID20167071
PMCPMC2834641

What OpenQuestion holds

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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.