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Circulating cell-free microRNA as biomarkers for screening, diagnosis and monitoring of neurodegenerative diseases and other neurologic pathologies

Overview of attention for article published in Frontiers in Cellular Neuroscience, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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3 X users
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3 patents

Citations

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159 Dimensions

Readers on

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242 Mendeley
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1 CiteULike
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Title
Circulating cell-free microRNA as biomarkers for screening, diagnosis and monitoring of neurodegenerative diseases and other neurologic pathologies
Published in
Frontiers in Cellular Neuroscience, January 2013
DOI 10.3389/fncel.2013.00150
Pubmed ID
Authors

Kira S. Sheinerman, Samuil R. Umansky

Abstract

Many neurodegenerative diseases, such as Alzheimer's disease, Parkinson disease, vascular and frontotemporal dementias, as well as other chronic neurological pathologies, are characterized by slow development with a long asymptomatic period followed by a stage with mild clinical symptoms. As a consequence, these serious pathologies are diagnosed late in the course of a disease, when massive death of neurons has already occurred and effective therapeutic intervention is problematic. Thus, the development of screening tests capable of detecting neurodegenerative diseases during early, preferably asymptomatic, stages is a high unmet need. Since such tests are to be used for screening of large populations, they should be non-invasive and relatively inexpensive. Further, while subjects identified by screening tests can be further tested with more invasive and expensive methods, e.g., analysis of cerebrospinal fluid or imaging techniques, to be of practical utility screening tests should have high sensitivity and specificity. In this review, we discuss advantages and disadvantages of various approaches to developing screening tests based on analysis of circulating cell-free microRNA (miRNA). Applications of circulating miRNA-based tests for diagnosis of acute and chronic brain pathologies, for research of normal brain aging, and for disease and treatment monitoring are also discussed.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
India 2 <1%
Germany 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Italy 1 <1%
Russia 1 <1%
Denmark 1 <1%
Other 2 <1%
Unknown 229 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 20%
Student > Ph. D. Student 46 19%
Student > Master 29 12%
Student > Bachelor 23 10%
Professor > Associate Professor 18 7%
Other 37 15%
Unknown 40 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 29%
Medicine and Dentistry 42 17%
Biochemistry, Genetics and Molecular Biology 32 13%
Neuroscience 19 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 21 9%
Unknown 51 21%
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 23 October 2019.
All research outputs
#6,394,617
of 22,719,618 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,190
of 4,213 outputs
Outputs of similar age
#68,811
of 280,759 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#48
of 203 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,213 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 71% 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 280,759 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 73% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.