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The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries

Overview of attention for article published in BMC Bioinformatics, February 2006
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
176 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
7 CiteULike
connotea
6 Connotea
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Title
The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries
Published in
BMC Bioinformatics, February 2006
DOI 10.1186/1471-2105-7-97
Pubmed ID
Authors

Richard G Côté, Philip Jones, Rolf Apweiler, Henning Hermjakob

Abstract

With the vast amounts of biomedical data being generated by high-throughput analysis methods, controlled vocabularies and ontologies are becoming increasingly important to annotate units of information for ease of search and retrieval. Each scientific community tends to create its own locally available ontology. The interfaces to query these ontologies tend to vary from group to group. We saw the need for a centralized location to perform controlled vocabulary queries that would offer both a lightweight web-accessible user interface as well as a consistent, unified SOAP interface for automated queries.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 7%
United Kingdom 3 3%
Portugal 2 2%
Japan 2 2%
Germany 2 2%
Norway 1 <1%
Brazil 1 <1%
France 1 <1%
Finland 1 <1%
Other 1 <1%
Unknown 82 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 35%
Student > Ph. D. Student 11 11%
Student > Bachelor 11 11%
Student > Master 10 10%
Student > Doctoral Student 6 6%
Other 17 17%
Unknown 12 12%
Readers by discipline Count As %
Computer Science 33 32%
Agricultural and Biological Sciences 29 28%
Medicine and Dentistry 7 7%
Biochemistry, Genetics and Molecular Biology 6 6%
Chemistry 5 5%
Other 10 10%
Unknown 13 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 June 2009.
All research outputs
#4,632,462
of 22,705,019 outputs
Outputs from BMC Bioinformatics
#1,789
of 7,254 outputs
Outputs of similar age
#12,600
of 71,343 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 58 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 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 done well, scoring higher than 75% 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 71,343 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 82% of its contemporaries.
We're also able to compare this research output to 58 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 74% of its contemporaries.