| Title |
A mathematical model of neuroinflammation in severe clinical traumatic brain injury
|
|---|---|
| Published in |
Journal of Neuroinflammation, December 2018
|
| DOI | 10.1186/s12974-018-1384-1 |
| Pubmed ID | |
| Authors |
Leah E. Vaughan, Prerna R. Ranganathan, Raj G. Kumar, Amy K. Wagner, Jonathan E. Rubin |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Ph. D. Student | 7 | 18% |
| Other | 4 | 10% |
| Student > Master | 3 | 8% |
| Professor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 18% |
| Neuroscience | 4 | 10% |
| Mathematics | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 16 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 May 2019.
All research outputs
#14,148,538
of 23,120,280 outputs
Outputs from Journal of Neuroinflammation
#1,534
of 2,667 outputs
Outputs of similar age
#227,080
of 435,331 outputs
Outputs of similar age from Journal of Neuroinflammation
#28
of 56 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,667 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 40th percentile – i.e., 40% 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 435,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.