Evidence map›Paper›PMID 24602198›Full record

ReviewJournal of biomedical semantics2014

Thematic series on biomedical ontologies in JBMS: challenges and new directions.

Robert Hoehndorf, Melissa Haendel, Robert Stevens, Dietrich Rebholz-Schuhmann

Abstract readReview
In one paragraph

Review in Journal of biomedical semantics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An effective method of large scale ontology matching.Journal of biomedical semantics · 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.

Robert HoehndorfDepartment of Computer Science, Aberystwyth University, Llandinam Building, SY23 3DB Aberystwyth, UK.
Melissa HaendelOHSU Library and Department of Medical Informatics, Portland, Oregon, USA ; Department of Medical Informatics and Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.
Robert StevensSchool of Computer Science, The University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Dietrich Rebholz-SchuhmannDepartment of Computational Linguistics, University of Zürich, Binzmühlestrasse 14, 8050 Zürich, Switzerland ; European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 15 years, the biomedical research community has increased its efforts to produce ontologies encoding biomedical knowledge, and to provide the corresponding infrastructure to maintain them. As ontologies are becoming a central part of biological and biomedical research, a communication channel to publish frequent updates and latest developments on them would be an advantage. Here, we introduce the JBMS thematic series on Biomedical Ontologies. The aim of the series is to disseminate the latest developments in research on biomedical ontologies and provide a venue for publishing newly developed ontologies, updates to existing ontologies as well as methodological advances, and selected contributions from conferences and workshops. We aim to give this thematic series a central role in the exploration of ongoing research in biomedical ontologies and intend to work closely together with the research community towards this aim. Researchers and working groups are encouraged to provide feedback on novel developments and special topics to be integrated into the existing publication cycles.

Identifiers

PMID24602198
PMCPMC4006457

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.