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MicroRNAs as biomarkers for CNS disease

Overview of attention for article published in Frontiers in Molecular Neuroscience, January 2013
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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271 Mendeley
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Title
MicroRNAs as biomarkers for CNS disease
Published in
Frontiers in Molecular Neuroscience, January 2013
DOI 10.3389/fnmol.2013.00039
Pubmed ID
Authors

Pooja Rao, Eva Benito, André Fischer

Abstract

For many neurological diseases, the efficacy and outcome of treatment depend on early detection. Diagnosis is currently based on the detection of symptoms and neuroimaging abnormalities, which appear at relatively late stages in the pathogenesis. However, the underlying molecular responses to genetic and environmental insults begin much earlier and non-coding RNA networks are critically involved in these cellular regulatory mechanisms. Profiling RNA expression patterns could thus facilitate presymptomatic disease detection. Obtaining indirect readouts of pathological processes is particularly important for brain disorders because of the lack of direct access to tissue for molecular analyses. Living neurons and other CNS cells secrete microRNA and other small non-coding RNA into the extracellular space packaged in exosomes, microvesicles, or lipoprotein complexes. This discovery, together with the rapidly evolving massive sequencing technologies that allow detection of virtually all RNA species from small amounts of biological material, has allowed significant progress in the use of extracellular RNA as a biomarker for CNS malignancies, neurological, and psychiatric diseases. There is also recent evidence that the interactions between external stimuli and brain pathological processes may be reflected in peripheral tissues, facilitating their use as potential diagnostic markers. In this review, we explore the possibilities and challenges of using microRNA and other small RNAs as a signature for neurodegenerative and other neuropsychatric conditions.

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

Geographical breakdown

Country Count As %
Spain 2 <1%
United States 2 <1%
Ireland 1 <1%
India 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 261 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 25%
Researcher 50 18%
Student > Bachelor 26 10%
Student > Master 17 6%
Student > Doctoral Student 14 5%
Other 54 20%
Unknown 42 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 26%
Medicine and Dentistry 39 14%
Neuroscience 38 14%
Biochemistry, Genetics and Molecular Biology 36 13%
Veterinary Science and Veterinary Medicine 5 2%
Other 27 10%
Unknown 55 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 December 2013.
All research outputs
#7,193,307
of 22,736,112 outputs
Outputs from Frontiers in Molecular Neuroscience
#983
of 2,845 outputs
Outputs of similar age
#80,270
of 280,808 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#7
of 39 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,845 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 64% 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 280,808 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 70% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.