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Prediction of MHC class II binding peptides based on an iterative learning model

Overview of attention for article published in Immunome Research, December 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Prediction of MHC class II binding peptides based on an iterative learning model
Published in
Immunome Research, December 2005
DOI 10.1186/1745-7580-1-6
Pubmed ID
Authors

Naveen Murugan, Yang Dai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
Chile 1 4%
Italy 1 4%
Argentina 1 4%
Unknown 22 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 8 30%
Professor > Associate Professor 3 11%
Other 2 7%
Student > Master 2 7%
Other 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 37%
Computer Science 6 22%
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 3 11%
Mathematics 1 4%
Other 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 January 2017.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Immunome Research
#5
of 67 outputs
Outputs of similar age
#21,316
of 170,202 outputs
Outputs of similar age from Immunome Research
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 67 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 85% 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 170,202 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them