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MicroRNA array analysis of microRNAs related to systemic scleroderma

Overview of attention for article published in Rheumatology International, October 2010
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Title
MicroRNA array analysis of microRNAs related to systemic scleroderma
Published in
Rheumatology International, October 2010
DOI 10.1007/s00296-010-1615-y
Pubmed ID
Authors

Haitao Li, Rongya Yang, Xin Fan, Tingmin Gu, Zhili Zhao, Dongqing Chang, Wenling Wang, Congmin Wang

Abstract

MicroRNAs are short, 18- to 25-nt sequences of noncoding, single-stranded RNA that function as regulatory molecules and participate in a series of vital processes including early development, cell proliferation, cell differentiation, apoptosis, substance metabolism and the pathogenesis of human diseases. This study compared the microRNA profiles of patients with systemic scleroderma (SSc) and healthy control individuals to investigate the pathogenesis of SSc. Skin tissue was isolated from three patients with SSc and three healthy controls. miRNA microarray chip analysis identified 24 miRNAs that were differentially expressed in patients with SSc and 6 microRNAs that may be correlated with the pathogenesis of SSc. The results of the microarray analysis were confirmed using real-time PCR. This work suggests that miRNAs may be potential diagnosis biomarkers and are likely to be involved in the pathogenesis of SSc.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 8 16%
Student > Master 7 14%
Other 3 6%
Student > Bachelor 2 4%
Other 5 10%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 29%
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 4 8%
Nursing and Health Professions 2 4%
Other 2 4%
Unknown 12 24%
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 12 May 2013.
All research outputs
#20,193,180
of 22,710,079 outputs
Outputs from Rheumatology International
#1,966
of 2,173 outputs
Outputs of similar age
#93,882
of 99,222 outputs
Outputs of similar age from Rheumatology International
#14
of 15 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,173 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% 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 99,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.