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Higher Throughput Methods of Identifying T Cell Epitopes for Studying Outcomes of Altered Antigen Processing and Presentation

Overview of attention for article published in Frontiers in immunology, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Higher Throughput Methods of Identifying T Cell Epitopes for Studying Outcomes of Altered Antigen Processing and Presentation
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00430
Pubmed ID
Authors

Evan W. Newell

Abstract

Variation in the mechanisms that mediate antigen processing, MHC-loading, and presentation of peptides allows cells to significantly modulate the repertoire of peptides presented by both MHC class I or class II. To more quickly determine how these different modes or modulations of presentation translate into altered immune responses, higher throughput methods for identifying T cell epitopes are needed. Proteomics-based comprehensive cataloging of peptides eluted from MHC is a challenging but ideal way of identifying peptide sequences influenced by variable modes of processing and presentation. Several groups have already been successful with this approach and ongoing technical improvements will broaden its applicability. Subsequently, high content combinatorial peptide-MHC tetramer staining using mass cytometry, as we have recently described, should enable the broad assessment of how these changes are perceived by T cells and translated into an altered immune response. The importance of this analysis is highlighted by evidence that physiologically relevant variation in antigen processing and presentation as well as other factors can give rise to unpredictably different T cell responses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 2%
Singapore 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 27%
Student > Ph. D. Student 14 23%
Student > Master 9 15%
Professor 4 7%
Professor > Associate Professor 3 5%
Other 7 12%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 35%
Immunology and Microbiology 12 20%
Biochemistry, Genetics and Molecular Biology 7 12%
Medicine and Dentistry 5 8%
Engineering 3 5%
Other 4 7%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 August 2015.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Frontiers in immunology
#20,297
of 31,516 outputs
Outputs of similar age
#193,611
of 288,991 outputs
Outputs of similar age from Frontiers in immunology
#223
of 503 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 28th percentile – i.e., 28% 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 288,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 503 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 52% of its contemporaries.