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Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores

Overview of attention for article published in BMC Bioinformatics, November 2006
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
44 Mendeley
connotea
1 Connotea
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Title
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Published in
BMC Bioinformatics, November 2006
DOI 10.1186/1471-2105-7-501
Pubmed ID
Authors

Jesper Salomon, Darren R Flower

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
United States 2 5%
Chile 1 2%
Israel 1 2%
France 1 2%
Denmark 1 2%
Argentina 1 2%
Unknown 35 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 32%
Researcher 11 25%
Student > Master 6 14%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 3 7%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Biochemistry, Genetics and Molecular Biology 7 16%
Computer Science 6 14%
Environmental Science 2 5%
Immunology and Microbiology 2 5%
Other 4 9%
Unknown 7 16%

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 19 June 2018.
All research outputs
#5,610,213
of 17,367,552 outputs
Outputs from BMC Bioinformatics
#2,455
of 6,152 outputs
Outputs of similar age
#111,670
of 286,950 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 24 outputs
Altmetric has tracked 17,367,552 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 6,152 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 286,950 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 58% 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.