| Title |
Novel Insights into Osteoarthritis Joint Pathology from Studies in Mice
|
|---|---|
| Published in |
Current Rheumatology Reports, June 2015
|
| DOI | 10.1007/s11926-015-0524-1 |
| Pubmed ID | |
| Authors |
Paxton M. Moon, Frank Beier |
| Abstract |
Osteoarthritis causes tremendous individual suffering and staggering societal costs, but due to our limited understanding of the underlying molecular and cellular mechanisms, our avenues for treating this disease are very restricted. Recent years have seen a drastic increase in the use of genetically modified mice to characterize the pathophysiology of osteoarthritis. Many new players and mechanisms driving osteoarthritis pathogenesis have been elucidated, some of which might be strong candidates as therapeutic targets for the human disease. The current review summarizes key findings (selected subjectively by the authors) from mouse osteoarthritis studies over recent years. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 7% |
| Unknown | 26 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 21% |
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 29% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Immunology and Microbiology | 4 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
| Engineering | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 3 | 11% |
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 15 March 2016.
All research outputs
#14,817,410
of 22,815,414 outputs
Outputs from Current Rheumatology Reports
#465
of 709 outputs
Outputs of similar age
#144,840
of 263,581 outputs
Outputs of similar age from Current Rheumatology Reports
#4
of 10 outputs
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