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Small non-coding RNA signature in multiple sclerosis patients after treatment with interferon-β

Overview of attention for article published in BMC Medical Genomics, May 2014
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Title
Small non-coding RNA signature in multiple sclerosis patients after treatment with interferon-β
Published in
BMC Medical Genomics, May 2014
DOI 10.1186/1755-8794-7-26
Pubmed ID
Authors

Bruna De Felice, Paolo Mondola, Anna Sasso, Giuseppe Orefice, Vincenzo Bresciamorra, Giovanni Vacca, Elio Biffali, Marco Borra, Raimondo Pannone

Abstract

Non-coding small RNA molecules play pivotal roles in cellular and developmental processes by regulating gene expression at the post-transcriptional level. In human diseases, the roles of the non-coding small RNAs in specific degradation or translational suppression of the targeted mRNAs suggest a potential therapeutic approach of post-transcriptional gene silencing that targets the underlying disease etiology. The involvement of non-coding small RNAs in the pathogenesis of neurodegenerative diseases such as Alzheimer's , Parkinson's disease and Multiple Sclerosis has been demonstrated. Multiple sclerosis (MS) is an autoimmune disease of the central nervous system, characterized by chronic inflammation, demyelination and scarring as well as a broad spectrum of signs and symptoms. The current standard treatment for SM is interferon ß (IFNß) that is less than ideal due to side effects. In this study we administered the standard IFN-ß treatment to Relapsing-Remitting MS patients, all responder to the therapy; then examined their sncRNA expression profiles in order to identify the ncRNAs that were associated with MS patients' response to IFNß.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 15 22%
Student > Master 6 9%
Student > Bachelor 6 9%
Student > Doctoral Student 4 6%
Other 8 12%
Unknown 12 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 24%
Medicine and Dentistry 9 13%
Neuroscience 8 12%
Biochemistry, Genetics and Molecular Biology 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 8 12%
Unknown 16 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 05 September 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#208,652
of 241,444 outputs
Outputs of similar age from BMC Medical Genomics
#38
of 42 outputs
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So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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