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Intrinsic Gene Expression Subsets of Diffuse Cutaneous Systemic Sclerosis Are Stable in Serial Skin Biopsies

Overview of attention for article published in Journal of Investigative Dermatology, May 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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2 tweeters
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Citations

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43 Mendeley
Title
Intrinsic Gene Expression Subsets of Diffuse Cutaneous Systemic Sclerosis Are Stable in Serial Skin Biopsies
Published in
Journal of Investigative Dermatology, May 2012
DOI 10.1038/jid.2011.472
Pubmed ID
Authors

Sarah A. Pendergrass, Raphael Lemaire, Ian P. Francis, J. Matthew Mahoney, Robert Lafyatis, Michael L. Whitfield

Abstract

Skin biopsy gene expression was analyzed by DNA microarray from 13 diffuse cutaneous systemic sclerosis (dSSc) patients enrolled in an open-label study of rituximab, 9 dSSc patients not treated with rituximab, and 9 healthy controls. These data recapitulate the patient "intrinsic" gene expression subsets described previously, including fibroproliferative, inflammatory, and normal-like groups. Serial skin biopsies showed consistent and non-progressing gene expression over time, and importantly, the patients in the inflammatory subset do not move to the fibroproliferative subset, and vice versa. We were unable to detect significant differences in gene expression before and after rituximab treatment, consistent with an apparent lack of clinical response. Serial biopsies from each patient stayed within the same gene expression subset, regardless of treatment regimen or the time point at which they were taken. Collectively, these data emphasize the heterogeneous nature of SSc and demonstrate that the intrinsic subsets are an inherent, reproducible, and stable feature of the disease that is independent of disease duration. Moreover, these data have fundamental importance for the future development of personalized therapy for SSc; drugs targeting inflammation are likely to benefit those patients with an inflammatory signature, whereas drugs targeting fibrosis are likely to benefit those with a fibroproliferative signature.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
Netherlands 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Researcher 8 19%
Student > Ph. D. Student 8 19%
Unspecified 6 14%
Other 4 9%
Other 8 19%
Readers by discipline Count As %
Medicine and Dentistry 12 28%
Agricultural and Biological Sciences 12 28%
Biochemistry, Genetics and Molecular Biology 8 19%
Unspecified 7 16%
Immunology and Microbiology 2 5%
Other 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 May 2012.
All research outputs
#6,351,399
of 12,267,010 outputs
Outputs from Journal of Investigative Dermatology
#4,592
of 6,322 outputs
Outputs of similar age
#48,864
of 113,768 outputs
Outputs of similar age from Journal of Investigative Dermatology
#18
of 55 outputs
Altmetric has tracked 12,267,010 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,322 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 26th percentile – i.e., 26% 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 113,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.