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Scrutinizing MHC-I Binding Peptides and Their Limits of Variation

Overview of attention for article published in PLoS Computational Biology, June 2013
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
1 CiteULike
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Title
Scrutinizing MHC-I Binding Peptides and Their Limits of Variation
Published in
PLoS Computational Biology, June 2013
DOI 10.1371/journal.pcbi.1003088
Pubmed ID
Authors

Christian P. Koch, Anna M. Perna, Max Pillong, Nickolay K. Todoroff, Paul Wrede, Gerd Folkers, Jan A. Hiss, Gisbert Schneider

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
France 1 1%
Argentina 1 1%
Belgium 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 12 18%
Student > Bachelor 11 16%
Student > Master 11 16%
Professor > Associate Professor 4 6%
Other 5 7%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 25%
Biochemistry, Genetics and Molecular Biology 11 16%
Chemistry 7 10%
Computer Science 7 10%
Medicine and Dentistry 7 10%
Other 12 18%
Unknown 7 10%
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 23 April 2024.
All research outputs
#8,628,139
of 25,608,265 outputs
Outputs from PLoS Computational Biology
#5,669
of 9,014 outputs
Outputs of similar age
#72,266
of 210,606 outputs
Outputs of similar age from PLoS Computational Biology
#62
of 105 outputs
Altmetric has tracked 25,608,265 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 210,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.