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Understanding and using the meaning of statements in a bio-ontology: recasting the Gene Ontology in OWL

Overview of attention for article published in BMC Bioinformatics, February 2007
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
129 Mendeley
citeulike
14 CiteULike
connotea
11 Connotea
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Title
Understanding and using the meaning of statements in a bio-ontology: recasting the Gene Ontology in OWL
Published in
BMC Bioinformatics, February 2007
DOI 10.1186/1471-2105-8-57
Pubmed ID
Authors

Mikel Egaña Aranguren, Sean Bechhofer, Phillip Lord, Ulrike Sattler, Robert Stevens

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 11%
United Kingdom 6 5%
Malaysia 2 2%
Brazil 2 2%
Spain 2 2%
France 2 2%
Italy 1 <1%
Australia 1 <1%
Norway 1 <1%
Other 3 2%
Unknown 95 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 26%
Student > Ph. D. Student 29 22%
Professor > Associate Professor 12 9%
Student > Postgraduate 10 8%
Student > Master 10 8%
Other 23 18%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 33%
Computer Science 35 27%
Medicine and Dentistry 19 15%
Arts and Humanities 5 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 13 10%
Unknown 12 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 August 2018.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from BMC Bioinformatics
#3,024
of 7,284 outputs
Outputs of similar age
#27,221
of 76,355 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 39 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 76,355 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.