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Mixing Signals: Molecular Turn Ons and Turn Offs for Innate γδ T-Cells

Overview of attention for article published in Frontiers in immunology, December 2014
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Mixing Signals: Molecular Turn Ons and Turn Offs for Innate γδ T-Cells
Published in
Frontiers in immunology, December 2014
DOI 10.3389/fimmu.2014.00654
Pubmed ID
Authors

Vasileios Bekiaris, John R. Šedý, Carl F. Ware

Abstract

Lymphocytes of the gamma delta (γδ) T-cell lineage are evolutionary conserved and although they express rearranged antigen-specific receptors, a large proportion respond as innate effectors. γδ T-cells are poised to combat infection by responding rapidly to cytokine stimuli similar to innate lymphoid cells. This potential to initiate strong inflammatory responses necessitates that inhibitory signals are balanced with activation signals. Here, we discuss some of the key mechanisms that regulate the development, activation, and inhibition of innate γδ T-cells in light of recent evidence that the inhibitory immunoglobulin-superfamily member B and T lymphocyte attenuator restricts their differentiation and effector function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Brazil 2 3%
France 1 2%
Venezuela, Bolivarian Republic of 1 2%
Unknown 58 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 14 22%
Student > Bachelor 7 11%
Student > Master 6 9%
Student > Postgraduate 5 8%
Other 11 17%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 34%
Immunology and Microbiology 21 32%
Medicine and Dentistry 9 14%
Biochemistry, Genetics and Molecular Biology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 0 0%
Unknown 7 11%
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 03 January 2015.
All research outputs
#14,387,928
of 25,374,647 outputs
Outputs from Frontiers in immunology
#11,653
of 31,516 outputs
Outputs of similar age
#175,941
of 360,183 outputs
Outputs of similar age from Frontiers in immunology
#67
of 170 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 has gotten more attention than average, scoring higher than 61% 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 360,183 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 50% of its contemporaries.
We're also able to compare this research output to 170 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 60% of its contemporaries.