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Prediction of protein binding sites in protein structures using hidden Markov support vector machine

Overview of attention for article published in BMC Bioinformatics, November 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
8 CiteULike
connotea
1 Connotea
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Title
Prediction of protein binding sites in protein structures using hidden Markov support vector machine
Published in
BMC Bioinformatics, November 2009
DOI 10.1186/1471-2105-10-381
Pubmed ID
Authors

Bin Liu, Xiaolong Wang, Lei Lin, Buzhou Tang, Qiwen Dong, Xuan Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 2 3%
Colombia 1 1%
Australia 1 1%
Slovenia 1 1%
Brazil 1 1%
Greece 1 1%
Japan 1 1%
Unknown 60 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 13 19%
Student > Master 9 13%
Student > Bachelor 7 10%
Professor > Associate Professor 6 9%
Other 11 16%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 30%
Computer Science 18 26%
Medicine and Dentistry 6 9%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 5 7%
Other 8 11%
Unknown 6 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 09 August 2012.
All research outputs
#7,552,525
of 23,039,416 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#48,837
of 167,002 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 53 outputs
Altmetric has tracked 23,039,416 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 7,318 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 167,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% 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 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.