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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reduction of microglial activity in a model of multiple sclerosis by dipyridamole
|
|---|---|
| Published in |
Journal of Neuroinflammation, July 2013
|
| DOI | 10.1186/1742-2094-10-89 |
| Pubmed ID | |
| Authors |
Scott Sloka, Luanne M Metz, Walter Hader, Yves Starreveld, V Wee Yong |
| Abstract |
Despite extensive and persistent activation of microglia in multiple sclerosis (MS), microglia inhibitors have not yet been identified for treatment of the disorder. We sought to identify medications already in clinical use that could inhibit the activation of microglia. On the basis of the reported inhibitory effects of dipyridamole on phosphodiesterase activity that result in the production of various anti-inflammatory outcomes, we selected it for study. Dipyridamole is used clinically for secondary prevention in stroke. In this study, dipyridamole was examined using microglia in culture and in the mouse model of MS, experimental autoimmune encephalomyelitis (EAE). |
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 % |
|---|---|---|
| United Kingdom | 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 56 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 10 | 17% |
| Researcher | 8 | 14% |
| Student > Master | 7 | 12% |
| Student > Postgraduate | 5 | 9% |
| Other | 10 | 17% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 31% |
| Agricultural and Biological Sciences | 12 | 21% |
| Neuroscience | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 11 | 19% |
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 14 August 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Journal of Neuroinflammation
#2,056
of 2,612 outputs
Outputs of similar age
#147,085
of 196,607 outputs
Outputs of similar age from Journal of Neuroinflammation
#22
of 33 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,612 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 12th percentile – i.e., 12% 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 196,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.