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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a new humanized mouse model to study acute inflammatory arthritis
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2012
|
| DOI | 10.1186/1479-5876-10-190 |
| Pubmed ID | |
| Authors |
Alexander V Misharin, G Kenneth Haines, Shawn Rose, Angelical K Gierut, Richard S Hotchkiss, Harris Perlman |
| Abstract |
Substantial advances have been generated in understanding the pathogenesis of rheumatoid arthritis (RA). Current murine models of RA-like disease have provided great insights into the molecular mechanism of inflammatory arthritis due to the use of genetically deficient or transgenic mice. However, these studies are limited by differences that exist between human and murine immune systems. Thus, the development of an animal model that utilizes human immune cells, will afford the opportunity to study their function in the initiation and propagation of inflammatory arthritis. |
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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Netherlands | 1 | 1% |
| Portugal | 1 | 1% |
| United Kingdom | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 67 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 22% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 9 | 12% |
| Other | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Other | 16 | 22% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 33% |
| Medicine and Dentistry | 18 | 25% |
| Immunology and Microbiology | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Neuroscience | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 9 | 12% |
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 22 October 2012.
All research outputs
#14,733,275
of 22,678,224 outputs
Outputs from Journal of Translational Medicine
#1,960
of 3,958 outputs
Outputs of similar age
#102,660
of 168,451 outputs
Outputs of similar age from Journal of Translational Medicine
#32
of 59 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 44th percentile – i.e., 44% 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 168,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.