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Scleroderma-polymyositis overlap syndrome versus idiopathic polymyositis and systemic sclerosis: a descriptive study on clinical features and myopathology

Overview of attention for article published in Arthritis Research & Therapy, May 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Scleroderma-polymyositis overlap syndrome versus idiopathic polymyositis and systemic sclerosis: a descriptive study on clinical features and myopathology
Published in
Arthritis Research & Therapy, May 2014
DOI 10.1186/ar4562
Pubmed ID
Authors

Kavish J Bhansing, Martin Lammens, Hanneke KA Knaapen, Piet LCM van Riel, Baziel GM van Engelen, Madelon C Vonk

Abstract

The objective was to characterize the clinical and myopathological features of patients with scleroderma-polymyositis (SSc-PM) overlap compared to a population of patients with systemic sclerosis (SSc) and polymyositis (PM).

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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Other 13 17%
Student > Ph. D. Student 11 14%
Researcher 8 10%
Student > Postgraduate 8 10%
Student > Bachelor 6 8%
Other 17 22%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 41 53%
Biochemistry, Genetics and Molecular Biology 5 6%
Nursing and Health Professions 3 4%
Neuroscience 3 4%
Agricultural and Biological Sciences 2 3%
Other 3 4%
Unknown 20 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 June 2014.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#736
of 3,381 outputs
Outputs of similar age
#32,972
of 241,608 outputs
Outputs of similar age from Arthritis Research & Therapy
#4
of 40 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 76% of its peers.
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 241,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
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 has done particularly well, scoring higher than 90% of its contemporaries.