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Interoperability between Biomedical Ontologies through Relation Expansion, Upper-Level Ontologies and Automatic Reasoning

Overview of attention for article published in PLOS ONE, July 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
8 CiteULike
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Title
Interoperability between Biomedical Ontologies through Relation Expansion, Upper-Level Ontologies and Automatic Reasoning
Published in
PLOS ONE, July 2011
DOI 10.1371/journal.pone.0022006
Pubmed ID
Authors

Robert Hoehndorf, Michel Dumontier, Anika Oellrich, Dietrich Rebholz-Schuhmann, Paul N. Schofield, Georgios V. Gkoutos

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 11%
Portugal 1 1%
Sweden 1 1%
Lithuania 1 1%
South Africa 1 1%
Brazil 1 1%
Spain 1 1%
United Kingdom 1 1%
Greece 1 1%
Other 1 1%
Unknown 54 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Ph. D. Student 14 20%
Student > Master 13 18%
Student > Doctoral Student 4 6%
Student > Postgraduate 4 6%
Other 11 15%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 30%
Computer Science 21 30%
Medicine and Dentistry 6 8%
Social Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 11 15%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 September 2017.
All research outputs
#2,675,434
of 23,292,144 outputs
Outputs from PLOS ONE
#33,667
of 199,063 outputs
Outputs of similar age
#13,553
of 120,408 outputs
Outputs of similar age from PLOS ONE
#376
of 2,218 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 199,063 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 83% 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 120,408 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 88% of its contemporaries.
We're also able to compare this research output to 2,218 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.