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Characterization of a novel and spontaneous mouse model of inflammatory arthritis

Overview of attention for article published in Arthritis Research & Therapy, January 2011
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Title
Characterization of a novel and spontaneous mouse model of inflammatory arthritis
Published in
Arthritis Research & Therapy, January 2011
DOI 10.1186/ar3434
Pubmed ID
Authors

Salvatore Cuzzocrea

Abstract

Arthritis is a heterogeneous disease comprising a group of inflammatory and non-inflammatory conditions that can cause pain, stiffness and swelling in the joints. Mouse models of rheumatoid arthritis (RA) have been critical for identifying genetic and cellular mechanisms of RA and several new mouse models have been produced. Various methods have been applied to induce experimental models of arthritis in animals that would provide important insights into the etiopathogenetic mechanisms of human RA. Adipue and colleagues recently discovered that mice in their breeding colony spontaneously developed inflamed joints reminiscent of RA and may, therefore, have found a new model to examine pathogenic mechanisms and test new treatments for this human inflammatory disease.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Researcher 4 24%
Student > Master 3 18%
Professor 1 6%
Student > Bachelor 1 6%
Other 3 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 47%
Medicine and Dentistry 5 29%
Psychology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 1 6%

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 11 February 2013.
All research outputs
#3,110,918
of 4,505,915 outputs
Outputs from Arthritis Research & Therapy
#792
of 1,080 outputs
Outputs of similar age
#199,755
of 287,290 outputs
Outputs of similar age from Arthritis Research & Therapy
#30
of 40 outputs
Altmetric has tracked 4,505,915 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 1,080 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 19th percentile – i.e., 19% 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 287,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.