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Improved prediction of MHC-peptide binding using protein language models

Overview of attention for article published in Frontiers in Bioinformatics, August 2023
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Mentioned by

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3 X users

Readers on

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27 Mendeley
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Title
Improved prediction of MHC-peptide binding using protein language models
Published in
Frontiers in Bioinformatics, August 2023
DOI 10.3389/fbinf.2023.1207380
Pubmed ID
Authors

Nasser Hashemi, Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sandor Vajda, Dima Kozakov

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Unspecified 3 11%
Student > Ph. D. Student 3 11%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 11 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Computer Science 4 15%
Agricultural and Biological Sciences 3 11%
Unspecified 2 7%
Mathematics 1 4%
Other 0 0%
Unknown 12 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2023.
All research outputs
#17,157,370
of 25,992,468 outputs
Outputs from Frontiers in Bioinformatics
#1
of 1 outputs
Outputs of similar age
#192,648
of 362,734 outputs
Outputs of similar age from Frontiers in Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 0 of them.
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 362,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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