Evidence map›Paper›PMID 22529178›Full record

ArticleDatabase : the journal of biological databases and curation2012

Using ODIN for a PharmGKB revalidation experiment.

Fabio Rinaldi, Simon Clematide, Yael Garten, Michelle Whirl-Carrillo, Li Gong, Joan M Hebert, Katrin Sangkuhl, Caroline F Thorn, Teri E Klein, Russ B Altman

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Improving biocuration of microRNAs in diseases: a case study in idiopathic pulmonary fibrosis.Database : the journal of biological databases and curation · 2017
    Article
  2. Strategies towards digital and semi-automated curation in RegulonDB.Database : the journal of biological databases and curation · 2017
    Article
  3. Biocuration with insufficient resources and fixed timelines.Database : the journal of biological databases and curation · 2015
    Article
  4. Article
  5. Article
  6. Assisted curation of regulatory interactions and growth conditions of OxyR in E. coli K-12.Database : the journal of biological databases and curation · 2014
    Article
  7. Article
  8. Article
  9. An overview of the BioCreative 2012 Workshop Track III: interactive text mining task.Database : the journal of biological databases and curation · 2013
    Article
  10. Using the OntoGene pipeline for the triage task of BioCreative 2012.Database : the journal of biological databases and curation · 2013
    Article
  11. Article
  12. BioC: a minimalist approach to interoperability for biomedical text processing.Database : the journal of biological databases and curation · 2013
    Article
  13. Article
  14. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference.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

10 authors.

Fabio RinaldiInstitute of Computational Linguistics, Binzmuhlestrasse 171, 8050 Zurich, Switzerland. fabio.rinaldi@uzh.ch
Simon Clematide
Yael Garten
Michelle Whirl-Carrillo
Li Gong
Joan M Hebert
Katrin Sangkuhl
Caroline F Thorn
Teri E Klein
Russ B Altman

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
NIGMS NIH HHS R24 GM61374NLM NIH HHS HHSN276201000025CNLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated into the curation workflow of a major biological database. We evaluate in particular (i) the usability of the system's interface, as perceived by users, and (ii) the correlation of the ranking of interactions, as provided by the text-mining system, with the choices of the curators.

Indexed as

Database Management SystemsDatabases, FactualPharmacogeneticsAbstracting and IndexingBiomedical ResearchData MiningReproducibility of ResultsUser-Computer Interface

Identifiers

PMID22529178
PMCPMC3332569

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.