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SVRMHC prediction server for MHC-binding peptides

Overview of attention for article published in BMC Bioinformatics, October 2006
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Mentioned by

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1 patent

Readers on

mendeley
72 Mendeley
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1 Connotea
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Title
SVRMHC prediction server for MHC-binding peptides
Published in
BMC Bioinformatics, October 2006
DOI 10.1186/1471-2105-7-463
Pubmed ID
Authors

Ji Wan, Wen Liu, Qiqi Xu, Yongliang Ren, Darren R Flower, Tongbin Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Argentina 2 3%
India 1 1%
Chile 1 1%
Ukraine 1 1%
Unknown 65 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 14 19%
Student > Bachelor 9 13%
Student > Master 8 11%
Student > Doctoral Student 6 8%
Other 9 13%
Unknown 12 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Biochemistry, Genetics and Molecular Biology 10 14%
Immunology and Microbiology 8 11%
Computer Science 7 10%
Chemistry 3 4%
Other 8 11%
Unknown 14 19%
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 16 July 2020.
All research outputs
#7,645,563
of 23,278,709 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#24,074
of 68,982 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 49 outputs
Altmetric has tracked 23,278,709 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 7,369 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 68,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.