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Unintended consequences of existential quantifications in biomedical ontologies

Overview of attention for article published in BMC Bioinformatics, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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8 X users

Citations

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7 Dimensions

Readers on

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57 Mendeley
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8 CiteULike
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Title
Unintended consequences of existential quantifications in biomedical ontologies
Published in
BMC Bioinformatics, November 2011
DOI 10.1186/1471-2105-12-456
Pubmed ID
Authors

Martin Boeker, Ilinca Tudose, Janna Hastings, Daniel Schober, Stefan Schulz

Abstract

The Open Biomedical Ontologies (OBO) Foundry is a collection of freely available ontologically structured controlled vocabularies in the biomedical domain. Most of them are disseminated via both the OBO Flatfile Format and the semantic web format Web Ontology Language (OWL), which draws upon formal logic. Based on the interpretations underlying OWL description logics (OWL-DL) semantics, we scrutinize the OWL-DL releases of OBO ontologies to assess whether their logical axioms correspond to the meaning intended by their authors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 9%
Netherlands 2 4%
Brazil 2 4%
Portugal 1 2%
South Africa 1 2%
Sweden 1 2%
Spain 1 2%
Canada 1 2%
Unknown 43 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 33%
Student > Ph. D. Student 8 14%
Student > Master 5 9%
Student > Bachelor 5 9%
Student > Doctoral Student 4 7%
Other 12 21%
Unknown 4 7%
Readers by discipline Count As %
Computer Science 20 35%
Agricultural and Biological Sciences 16 28%
Engineering 5 9%
Chemistry 3 5%
Linguistics 2 4%
Other 7 12%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2012.
All research outputs
#6,305,374
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#2,248
of 7,506 outputs
Outputs of similar age
#53,432
of 246,797 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 111 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.