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Attention Score in Context
Title |
TCR-Signaling Events in Cellular Metabolism and Specialization
|
---|---|
Published in |
Frontiers in immunology, June 2015
|
DOI | 10.3389/fimmu.2015.00292 |
Pubmed ID | |
Authors |
Danielle A. Chisolm, Amy S. Weinmann |
Abstract |
Engaging the T cell receptor (TCR) with peptide:MHC complexes initiates a cascade of signaling events that activates T cells in an antigen-specific manner. It is now clear that multiple inputs, including the strength of TCR signaling, co-stimulation, and the cytokine environment, impact T cell specialization decisions in the context of specific pathogenic encounters. Additionally, it is now appreciated that these same stimuli direct cellular metabolism programs. In this review, we will discuss how TCR-signaling events coordinate cellular metabolism and specialization gene programs in T cells. |
X Demographics
The data shown below were collected from the profiles of 2 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.
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 31% |
Student > Ph. D. Student | 15 | 25% |
Student > Doctoral Student | 7 | 11% |
Professor > Associate Professor | 3 | 5% |
Student > Master | 3 | 5% |
Other | 9 | 15% |
Unknown | 5 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 20 | 33% |
Agricultural and Biological Sciences | 19 | 31% |
Medicine and Dentistry | 6 | 10% |
Biochemistry, Genetics and Molecular Biology | 5 | 8% |
Unspecified | 1 | 2% |
Other | 4 | 7% |
Unknown | 6 | 10% |
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 25 June 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Frontiers in immunology
#24,737
of 31,516 outputs
Outputs of similar age
#205,499
of 280,054 outputs
Outputs of similar age from Frontiers in immunology
#142
of 180 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 13th percentile – i.e., 13% 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 280,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.