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Design and Fabrication a Gold Nanoparticle-DNA Based Nanobiosensor for Detection of microRNA Involved in Alzheimer's Disease

Overview of attention for article published in Journal of Fluorescence, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 427)
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
49 Mendeley
Title
Design and Fabrication a Gold Nanoparticle-DNA Based Nanobiosensor for Detection of microRNA Involved in Alzheimer's Disease
Published in
Journal of Fluorescence, December 2016
DOI 10.1007/s10895-016-1988-8
Pubmed ID
Authors

Shokoufeh Delkhahi, Mahdi Rahaie, Fereshteh Rahimi

Abstract

MicroRNAs are small RNAs which regulate gene expression by translational repression or degradation of messenger RNAs. Regards to important role of these biomolecules in human disease progress, to produce sensitive, simple and cost-effective assays for microRNAs are in urgent demand. miR-137 in Alzheimer's patients has demonstrated its potential as non-invasive biomarkers in blood for Alzheimer's disease diagnosis and prognosis. This paper describes a novel, sensitive and specific microRNA assay based on Colorimetric detection of gold nanoparticles and hybridization chain reaction amplification (HCR). The new strategy eliminates the need for enzymatic reactions, chemical changes, separation processes and sophisticated equipment. The detection process is visible with the naked eyes and detection limit for this method is 0.25nM which is less than or at least comparable with the previous methods based on colorimetric of AuNPs. The important features of this method are high sensitivity and specificity to differentiate between perfectly matched, mismatched and non-complementary target microRNAs and also decent response in the real sample analysis with blood plasma. In conclusion, the simple and fast nanobiosensor can clinically be used for the early detection of Alzheimer's disease by direct detection of the plasma miR-137 in real clinical samples, without a need for sample preparation, RNA extraction and/or amplification.

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 %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Bachelor 6 12%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Other 3 6%
Other 6 12%
Unknown 15 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 4 8%
Engineering 4 8%
Neuroscience 3 6%
Chemistry 3 6%
Other 8 16%
Unknown 21 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 December 2016.
All research outputs
#4,196,781
of 22,912,409 outputs
Outputs from Journal of Fluorescence
#27
of 427 outputs
Outputs of similar age
#82,042
of 416,471 outputs
Outputs of similar age from Journal of Fluorescence
#1
of 5 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 427 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 92% 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 416,471 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them