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Identification of initial severity determinants to predict arthritis after chikungunya infection in a cohort of French gendarmes

Overview of attention for article published in BMC Musculoskeletal Disorders, July 2014
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1 X user

Citations

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Title
Identification of initial severity determinants to predict arthritis after chikungunya infection in a cohort of French gendarmes
Published in
BMC Musculoskeletal Disorders, July 2014
DOI 10.1186/1471-2474-15-249
Pubmed ID
Authors

Hafiz Muhammad Yaseen, Fabrice Simon, Xavier Deparis, Catherine Marimoutou

Abstract

The objective was to identify severity characteristics of initial chikungunya infection (CHIKV) stages associated with post-CHIKV arthritis and arthralgia.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 16%
Student > Ph. D. Student 12 12%
Student > Bachelor 12 12%
Student > Postgraduate 8 8%
Student > Master 8 8%
Other 28 27%
Unknown 19 18%
Readers by discipline Count As %
Medicine and Dentistry 32 31%
Agricultural and Biological Sciences 11 11%
Social Sciences 6 6%
Immunology and Microbiology 4 4%
Psychology 4 4%
Other 18 17%
Unknown 29 28%
Attention Score in Context

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 24 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from BMC Musculoskeletal Disorders
#3,123
of 4,037 outputs
Outputs of similar age
#163,504
of 228,866 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#75
of 101 outputs
Altmetric has tracked 22,758,963 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 4,037 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 10th percentile – i.e., 10% 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 228,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.