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Broad-Based CD4+ T Cell Responses to Influenza A Virus in a Healthy Individual Who Lacks Typical Immunodominance Hierarchy

Overview of attention for article published in Frontiers in immunology, April 2017
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Broad-Based CD4+ T Cell Responses to Influenza A Virus in a Healthy Individual Who Lacks Typical Immunodominance Hierarchy
Published in
Frontiers in immunology, April 2017
DOI 10.3389/fimmu.2017.00375
Pubmed ID
Authors

Li Chen, Anjaleena Anthony, Sara Oveissi, Miaojuan Huang, Damien Zanker, Kun Xiao, Chao Wu, Quanming Zou, Weisan Chen

Abstract

Influenza A virus (IAV) infection is a significant cause of morbidity and mortality worldwide. CD4(+) T cell responses have been shown to be important for influenza protection in mouse models and in human volunteers. IAV antigen-specific CD4(+) T cell responses were found to focus on matrix 1 (M1) and nucleoprotein (NP) at the protein antigen level. At the epitope level, only several epitopes within M1 and NP were recognized by CD4(+) T cells. And the epitope-specific CD4(+) T cell responses showed a typical immunodominance hierarchy in most of the healthy individuals studied. In this study, we reported one case of atypical immunodominance hierarchy of CD4(+) T cell responses to IAV. M1 and NP were still the immunodominant targets of CD4(+) T cell responses. However, CD4(+) T cell responses specific to 11 epitopes derived from M1 and NP were detected and showed no significant immunodominance hierarchy. Such an atypical pattern is likely determined by the individual's HLA alleles. These findings will help us better understand the anti-IAV immunity as a whole and improve future vaccines against IAV.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 83%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Immunology and Microbiology 4 67%
Agricultural and Biological Sciences 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2023.
All research outputs
#7,780,614
of 25,382,440 outputs
Outputs from Frontiers in immunology
#9,048
of 31,531 outputs
Outputs of similar age
#115,146
of 323,671 outputs
Outputs of similar age from Frontiers in immunology
#180
of 416 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 31,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 70% 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 323,671 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 63% of its contemporaries.
We're also able to compare this research output to 416 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 55% of its contemporaries.