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The clinical relevance of autoantibodies in scleroderma

Overview of attention for article published in Arthritis Research & Therapy, February 2003
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
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1 Wikipedia page
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1 Google+ user

Citations

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271 Dimensions

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203 Mendeley
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Title
The clinical relevance of autoantibodies in scleroderma
Published in
Arthritis Research & Therapy, February 2003
DOI 10.1186/ar628
Pubmed ID
Authors

Khanh T Ho, John D Reveille

Abstract

Scleroderma (systemic sclerosis) is associated with several autoantibodies, each of which is useful in the diagnosis of affected patients and in determining their prognosis. Anti-centromere antibodies (ACA) and anti-Scl-70 antibodies are very useful in distinguishing patients with systemic sclerosis (SSc) from healthy controls, from patients with other connective tissue disease, and from unaffected family members. Whereas ACA often predict a limited skin involvement and the absence of pulmonary involvement, the presence of anti-Scl-70 antibodies increases the risk for diffuse skin involvement and scleroderma lung disease. Anti-fibrillarin autoantibodies (which share significant serologic overlap with anti-U3-ribonucleoprotein antibodies) and anti-RNA-polymerase autoantibodies occur less frequently and are also predictive of diffuse skin involvement and systemic disease. Anti-Th/To and PM-Scl, in contrast, are associated with limited skin disease, but anti-Th/To might be a marker for the development of pulmonary hypertension. Other autoantibodies against extractable nuclear antigens have less specificity for SSc, including anti-Ro, which is a risk factor for sicca symptoms in patients with SSc, and anti-U1-ribonucleoprotein, which in high titer is seen in patients with SSc/systemic lupus erythematosus/polymyositis overlap syndromes. Limited reports of other autoantibodies (anti-Ku, antiphospholipid) have not established them as being clinically useful in following patients with SSc.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Germany 2 <1%
Colombia 1 <1%
Uruguay 1 <1%
Italy 1 <1%
Unknown 196 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 23 11%
Researcher 21 10%
Student > Ph. D. Student 20 10%
Student > Master 19 9%
Student > Doctoral Student 17 8%
Other 49 24%
Unknown 54 27%
Readers by discipline Count As %
Medicine and Dentistry 88 43%
Immunology and Microbiology 16 8%
Agricultural and Biological Sciences 12 6%
Biochemistry, Genetics and Molecular Biology 9 4%
Chemistry 5 2%
Other 12 6%
Unknown 61 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 April 2022.
All research outputs
#6,276,220
of 25,374,647 outputs
Outputs from Arthritis Research & Therapy
#1,369
of 3,381 outputs
Outputs of similar age
#25,163
of 141,008 outputs
Outputs of similar age from Arthritis Research & Therapy
#4
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 gotten more attention than average, scoring higher than 59% 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 141,008 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 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.