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Glycosylation site prediction using ensembles of Support Vector Machine classifiers

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

wikipedia
1 Wikipedia page

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
128 Mendeley
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1 CiteULike
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Title
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
Published in
BMC Bioinformatics, November 2007
DOI 10.1186/1471-2105-8-438
Pubmed ID
Authors

Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant Honavar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Colombia 1 <1%
Turkey 1 <1%
Ireland 1 <1%
Brazil 1 <1%
Israel 1 <1%
France 1 <1%
United Kingdom 1 <1%
India 1 <1%
Other 2 2%
Unknown 115 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Student > Master 18 14%
Researcher 15 12%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 18 14%
Unknown 28 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 29%
Biochemistry, Genetics and Molecular Biology 25 20%
Computer Science 14 11%
Engineering 7 5%
Medicine and Dentistry 5 4%
Other 12 9%
Unknown 28 22%
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 21 July 2017.
All research outputs
#7,534,941
of 22,990,068 outputs
Outputs from BMC Bioinformatics
#3,037
of 7,311 outputs
Outputs of similar age
#26,301
of 78,023 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 49 outputs
Altmetric has tracked 22,990,068 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 7,311 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 78,023 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.