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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular Determinants of Target Cell Recognition by Human γδ T Cells
|
|---|---|
| Published in |
Frontiers in immunology, April 2018
|
| DOI | 10.3389/fimmu.2018.00929 |
| Pubmed ID | |
| Authors |
André E. Simões, Biagio Di Lorenzo, Bruno Silva-Santos |
| Abstract |
The unique capabilities of gamma-delta (γδ) T cells to recognize cells under stressed conditions, particularly infected or transformed cells, and killing them or regulating the immune response against them, paved the way to the development of promising therapeutic strategies for cancer and infectious diseases. From a mechanistic standpoint, numerous studies have unveiled a remarkable flexibility of γδ T cells in employing their T cell receptor and/or NK cell receptors for target cell recognition, even if the relevant ligands often remain uncertain. Here, we review the accumulated knowledge on the diverse mechanisms of target cell recognition by γδ T cells, focusing on human γδ T cells, to provide an integrated perspective of their therapeutic potential in cancer and infectious diseases. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 17% |
| Researcher | 16 | 14% |
| Student > Ph. D. Student | 14 | 12% |
| Student > Bachelor | 10 | 9% |
| Other | 6 | 5% |
| Other | 10 | 9% |
| Unknown | 40 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 27 | 23% |
| Biochemistry, Genetics and Molecular Biology | 26 | 23% |
| Agricultural and Biological Sciences | 9 | 8% |
| Medicine and Dentistry | 7 | 6% |
| Computer Science | 2 | 2% |
| Other | 4 | 3% |
| Unknown | 40 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 May 2019.
All research outputs
#5,318,669
of 25,932,719 outputs
Outputs from Frontiers in immunology
#5,865
of 32,608 outputs
Outputs of similar age
#93,089
of 341,977 outputs
Outputs of similar age from Frontiers in immunology
#178
of 709 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,608 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 81% 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 341,977 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 72% of its contemporaries.
We're also able to compare this research output to 709 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 74% of its contemporaries.