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MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
21 Mendeley
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Title
MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s9-s9
Pubmed ID
Authors

Yichang Xu, Cheng Luo, Mingjie Qian, Xiaodi Huang, Shanfeng Zhu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Belgium 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Other 1 5%
Student > Doctoral Student 1 5%
Other 4 19%
Unknown 5 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Computer Science 2 10%
Chemistry 2 10%
Medicine and Dentistry 2 10%
Other 4 19%
Unknown 4 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 21 April 2022.
All research outputs
#7,753,975
of 23,577,654 outputs
Outputs from BMC Genomics
#3,712
of 10,777 outputs
Outputs of similar age
#109,692
of 364,536 outputs
Outputs of similar age from BMC Genomics
#86
of 234 outputs
Altmetric has tracked 23,577,654 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 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 364,536 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 53% of its contemporaries.
We're also able to compare this research output to 234 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 60% of its contemporaries.