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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, November 2009
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Mentioned by

patent
5 patents

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
204 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, November 2009
DOI 10.1186/1471-2105-10-394
Pubmed ID
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 2 <1%
United Kingdom 2 <1%
Denmark 2 <1%
India 1 <1%
Canada 1 <1%
Russia 1 <1%
Brazil 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 188 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 23%
Student > Ph. D. Student 42 21%
Student > Master 23 11%
Student > Bachelor 20 10%
Student > Doctoral Student 10 5%
Other 25 12%
Unknown 37 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 27%
Biochemistry, Genetics and Molecular Biology 41 20%
Computer Science 19 9%
Immunology and Microbiology 15 7%
Medicine and Dentistry 10 5%
Other 24 12%
Unknown 40 20%
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 11 November 2021.
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
#48,621
of 165,971 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 46 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 165,971 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 46 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.