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Derivation of an amino acid similarity matrix for peptide:MHC binding and its application as a Bayesian prior

Overview of attention for article published in BMC Bioinformatics, January 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
3 CiteULike
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Title
Derivation of an amino acid similarity matrix for peptide:MHC binding and its application as a Bayesian prior
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-394
Pubmed ID
Authors

Yohan Kim, John Sidney, Clemencia Pinilla, Alessandro Sette, Bjoern Peters

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 2 1%
Denmark 2 1%
United Kingdom 2 1%
Canada 1 <1%
India 1 <1%
Russia 1 <1%
Spain 1 <1%
Brazil 1 <1%
Other 1 <1%
Unknown 125 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 27%
Student > Ph. D. Student 30 21%
Student > Master 19 13%
Student > Bachelor 11 8%
Student > Doctoral Student 8 6%
Other 17 12%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 34%
Biochemistry, Genetics and Molecular Biology 27 19%
Computer Science 12 9%
Medicine and Dentistry 10 7%
Immunology and Microbiology 9 6%
Other 15 11%
Unknown 20 14%

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 04 July 2013.
All research outputs
#2,580,987
of 9,623,359 outputs
Outputs from BMC Bioinformatics
#1,577
of 4,102 outputs
Outputs of similar age
#34,013
of 100,376 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 32 outputs
Altmetric has tracked 9,623,359 research outputs across all sources so far. This one has received more attention than most of these and is in the 57th percentile.
So far Altmetric has tracked 4,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 52% 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 100,376 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 32 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 59% of its contemporaries.