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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

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
155 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 155 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 139 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 25%
Student > Ph. D. Student 31 20%
Student > Master 21 14%
Student > Bachelor 14 9%
Student > Doctoral Student 11 7%
Other 19 12%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 32%
Biochemistry, Genetics and Molecular Biology 30 19%
Computer Science 14 9%
Medicine and Dentistry 11 7%
Immunology and Microbiology 11 7%
Other 18 12%
Unknown 22 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 18 February 2021.
All research outputs
#5,774,945
of 17,749,513 outputs
Outputs from BMC Bioinformatics
#2,500
of 6,254 outputs
Outputs of similar age
#112,498
of 287,789 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 24 outputs
Altmetric has tracked 17,749,513 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 51% 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 287,789 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 57% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.