Evidence map›Paper›PMID 25214827›Full record

ArticleSemantic web2013

BioPortal as a Dataset of Linked Biomedical Ontologies and Terminologies in RDF.

Manuel Salvadores, Paul R Alexander, Mark A Musen, Natalya F Noy

Abstract read
In one paragraph

Article in Semantic web, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
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  14. Publishing reproducible dynamic kinetic models.Briefings in bioinformatics · 2021
    Article
  15. Article
  16. Article
  17. OHMI: the ontology of host-microbiome interactions.Journal of biomedical semantics · 2019
    Article
  18. Article
  19. Review
  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

4 authors.

Manuel SalvadoresStanford Center for Biomedical Informatics Research Stanford University, US.
Paul R AlexanderStanford Center for Biomedical Informatics Research Stanford University, US.
Mark A MusenStanford Center for Biomedical Informatics Research Stanford University, US.
Natalya F NoyStanford Center for Biomedical Informatics Research Stanford University, US.

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
NHGRI NIH HHS U54 HG004028
6 · The paper itself

Abstract

BioPortal is a repository of biomedical ontologies-the largest such repository, with more than 300 ontologies to date. This set includes ontologies that were developed in OWL, OBO and other formats, as well as a large number of medical terminologies that the US National Library of Medicine distributes in its own proprietary format. We have published the RDF version of all these ontologies at http://sparql.bioontology.org. This dataset contains 190M triples, representing both metadata and content for the 300 ontologies. We use the metadata that the ontology authors provide and simple RDFS reasoning in order to provide dataset users with uniform access to key properties of the ontologies, such as lexical properties for the class names and provenance data. The dataset also contains 9.8M cross-ontology mappings of different types, generated both manually and automatically, which come with their own metadata.

Indexed as

biomedical ontologiesBioPortallinked dataRDF

Identifiers

PMID25214827
PMCPMC4159173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.