Evidence map›Paper›PMID 18834497›Full record

ArticleGenome biology2008

Introducing meta-services for biomedical information extraction.

Florian Leitner, Martin Krallinger, Carlos Rodriguez-Penagos, Jörg Hakenberg, Conrad Plake, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hsi-Chuan Hung, William W Lau and 22 more

Abstract read
In one paragraph

Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature.Database : the journal of biological databases and curation · 2018
    Article
  7. Article
  8. tmBioC: improving interoperability of text-mining tools with BioC.Database : the journal of biological databases and curation · 2014
    Article
  9. BioC: a minimalist approach to interoperability for biomedical text processing.Database : the journal of biological databases and curation · 2013
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. For I dipped into the future.EMBO reports · 2010
    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

32 authors.

Florian LeitnerStructural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain. fleitner@cnio.es
Martin Krallinger
Carlos Rodriguez-Penagos
Jörg Hakenberg
Conrad Plake
Cheng-Ju Kuo
Chun-Nan Hsu
Richard Tzong-Han Tsai
Hsi-Chuan Hung
William W Lau
Calvin A Johnson
Rune Saetre
Kazuhiro Yoshida
Yan Hua Chen
Sun Kim
Soo-Yong Shin
Byoung-Tak Zhang
William A Baumgartner
Lawrence Hunter
Barry Haddow
Michael Matthews
Xinglong Wang
Patrick Ruch
Frédéric Ehrler
Arzucan Ozgür
Güneş Erkan
Dragomir R Radev
Michael Krauthammer
ThaiBinh Luong
Robert Hoffmann
Chris Sander
Alfonso Valencia

Funding

Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Representing and Acquiring Knowledge of Genome RegulatioR01LM008106 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STATES, DAVID J · 2003 to 2006
$1.3M
Intramural NIH HHSNIDA NIH HHS U54 DA021519NIDA NIH HHS U54-DA021519NLM NIH HHS R01 LM008106NLM NIH HHS R01-LM008106
6 · The paper itself

Abstract

We introduce the first meta-service for information extraction in molecular biology, the BioCreative MetaServer (BCMS; http://bcms.bioinfo.cnio.es/). This prototype platform is a joint effort of 13 research groups and provides automatically generated annotations for PubMed/Medline abstracts. Annotation types cover gene names, gene IDs, species, and protein-protein interactions. The annotations are distributed by the meta-server in both human and machine readable formats (HTML/XML). This service is intended to be used by biomedical researchers and database annotators, and in biomedical language processing. The platform allows direct comparison, unified access, and result aggregation of the annotations.

Indexed as

Information Storage and RetrievalInternetBiomedical ResearchComputational BiologyHumans

Identifiers

PMID18834497
PMCPMC2559990

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.