Evidence map›Paper›PMID 20221640›Full record

ArticleMolecular genetics and genomics : MGG2010

A MOD(ern) perspective on literature curation.

Jodi Hirschman, Tanya Z Berardini, Harold J Drabkin, Doug Howe

Abstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. The alliance of genome resources: transforming comparative genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  2. Review
  3. Article
  4. Outreach and online training services at the Saccharomyces Genome Database.Database : the journal of biological databases and curation · 2017
    Article
  5. Biocuration at the Saccharomyces genome database.Genesis (New York, N.Y. : 2000) · 2015
    Review
  6. Biocuration with insufficient resources and fixed timelines.Database : the journal of biological databases and curation · 2015
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Research resources: curating the new eagle-i discovery system.Database : the journal of biological databases and curation · 2012
    Article
  16. Article
  17. Article
  18. 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

4 authors.

Jodi HirschmanSaccharomyces Genome Database, Department of Genetics, Stanford University, Stanford, CA 94305, USA. jodi@genome.stanford.edu
Tanya Z Berardini
Harold J Drabkin
Doug Howe

Funding

SOFTWARE AND DATABASE SYSTEM DEVELOPMENTP41HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1995 to 2010
$72.1M
Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
GENOMIC DATABASE FOR THE YEAST SACCHAROMYCESP41HG001315 · NHGRI · STANFORD UNIVERSITY · PI CHERRY, J. MICHAEL · 1995 to 2010
$27.1M
ZFIN:THE ZEBRAFISH MODEL ORGANISM DATABASEP41HG002659 · NHGRI · UNIVERSITY OF OREGON · PI WESTERFIELD, MONTE · 2003 to 2010
$21.2M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
NHGRI NIH HHS P41 HG000330NHGRI NIH HHS P41 HG001315NHGRI NIH HHS P41 HG002273NHGRI NIH HHS P41 HG002659NIGMS NIH HHS GM080646NIGMS NIH HHS R01 GM080646
6 · The paper itself

Abstract

Curation of biological data is a multi-faceted task whose goal is to create a structured, comprehensive, integrated, and accurate resource of current biological knowledge. These structured data facilitate the work of the scientific community by providing knowledge about genes or genomes and by generating validated connections between the data that yield new information and stimulate new research approaches. For the model organism databases (MODs), an important source of data is research publications. Every published paper containing experimental information about a particular model organism is a candidate for curation. All such papers are examined carefully by curators for relevant information. Here, four curators from different MODs describe the literature curation process and highlight approaches taken by the four MODs to address: (1) the decision process by which papers are selected, and (2) the identification and prioritization of the data contained in the paper. We will highlight some of the challenges that MOD biocurators face, and point to ways in which researchers and publishers can support the work of biocurators and the value of such support.

Indexed as

Databases, GeneticModels, BiologicalAnimalsBibliographies as TopicGenesInternetStatistics as TopicTerminology as Topic

Identifiers

PMID20221640
PMCPMC2854346

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.