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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Age-dependent changes in the expression of regulatory cell surface ligands in activated human T-cells
|
|---|---|
| Published in |
BMC Immunology, October 2013
|
| DOI | 10.1186/1471-2172-14-45 |
| Pubmed ID | |
| Authors |
David H Canaday, Karen E Parker, Htin Aung, Hui Emily Chen, Dariana Nunez-Medina, Christopher J Burant |
| Abstract |
The immune system consists of multiple preformed and more specific adaptive immune responses, which are all subject to both positive and negative regulation. Programmed cell death protein 1 (PD-1) is a cell surface ligand implicated in the induction of anergy, Inducible T-cell Costimulator (ICOS) plays a stimulatory role in the development of both CD4+ and CD8+ T-cells, Cytotoxic T-Lymphocyte Antigen 4 (CTLA-4) plays a role in inhibitory regulation of T-cell activity, and T cell immunoglobulin and mucin protein 3 (Tim-3) has been described as a negative regulatory molecule in CD4+ helper type 1 cells and CD8+ cytotoxic type 1 cells. Each of these ligands is induced with T-cell activation allowing greater opportunity to have a regulatory role. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 21% |
| Student > Master | 5 | 21% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 38% |
| Immunology and Microbiology | 6 | 25% |
| Agricultural and Biological Sciences | 4 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 3 | 13% |
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 November 2013.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from BMC Immunology
#502
of 588 outputs
Outputs of similar age
#181,230
of 207,103 outputs
Outputs of similar age from BMC Immunology
#4
of 5 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 588 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 207,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.