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Ontology Design Patterns for bio-ontologies: a case study on the Cell Cycle Ontology

Overview of attention for article published in BMC Bioinformatics, April 2008
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
117 Mendeley
citeulike
7 CiteULike
connotea
5 Connotea
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Title
Ontology Design Patterns for bio-ontologies: a case study on the Cell Cycle Ontology
Published in
BMC Bioinformatics, April 2008
DOI 10.1186/1471-2105-9-s5-s1
Pubmed ID
Authors

Mikel Egaña Aranguren, Erick Antezana, Martin Kuiper, Robert Stevens

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 7%
Brazil 4 3%
United Kingdom 4 3%
Germany 3 3%
France 1 <1%
Norway 1 <1%
Switzerland 1 <1%
Sweden 1 <1%
Malaysia 1 <1%
Other 5 4%
Unknown 88 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 25%
Student > Ph. D. Student 28 24%
Professor > Associate Professor 12 10%
Student > Master 12 10%
Professor 8 7%
Other 22 19%
Unknown 6 5%
Readers by discipline Count As %
Computer Science 48 41%
Agricultural and Biological Sciences 30 26%
Medicine and Dentistry 7 6%
Arts and Humanities 6 5%
Business, Management and Accounting 4 3%
Other 12 10%
Unknown 10 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 23 October 2017.
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
#27,790
of 79,542 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 53 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 79,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.