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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic cross-regulation of antigen-specific effector and regulatory T cell subpopulations and microglia in brain autoimmunity
|
|---|---|
| Published in |
BMC Systems Biology, April 2013
|
| DOI | 10.1186/1752-0509-7-34 |
| Pubmed ID | |
| Authors |
Sara Martinez-Pasamar, Elena Abad, Beatriz Moreno, Nieves Velez de Mendizabal, Ivan Martinez-Forero, Jordi Garcia-Ojalvo, Pablo Villoslada |
| Abstract |
Multiple Sclerosis (MS) is considered a T-cell-mediated autoimmune disease with a prototypical oscillatory behavior, as evidenced by the presence of clinical relapses. Understanding the dynamics of immune cells governing the course of MS, therefore, has many implications for immunotherapy. Here, we used flow cytometry to analyze the time-dependent behavior of antigen-specific effector (T(eff)) and regulatory (T(reg)) T cells and microglia in mice model of MS, Experimental Autoimmune Encephalomyelitis (EAE), and compared the observations with a mathematical cross-regulation model of T-cell dynamics in autoimmune disease. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| United Kingdom | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 67 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 8 | 11% |
| Student > Postgraduate | 5 | 7% |
| Other | 16 | 23% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 28% |
| Medicine and Dentistry | 13 | 18% |
| Immunology and Microbiology | 5 | 7% |
| Neuroscience | 4 | 6% |
| Engineering | 4 | 6% |
| Other | 17 | 24% |
| Unknown | 8 | 11% |
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 26 April 2013.
All research outputs
#15,270,698
of 22,708,120 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#120,424
of 194,058 outputs
Outputs of similar age from BMC Systems Biology
#10
of 19 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 194,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.