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Mendeley readers
Attention Score in Context
| Title |
Poly(A) Extensions of miRNAs for Amplification-Free Electrochemical Detection on Screen-Printed Gold Electrodes
|
|---|---|
| Published in |
Analytical Chemistry, January 2016
|
| DOI | 10.1021/acs.analchem.5b04795 |
| Pubmed ID | |
| Authors |
Kevin M. Koo, Laura G. Carrascosa, Muhammad J. A. Shiddiky, Matt Trau |
| Abstract |
Current amplification-based microRNA (miRNA) detection approaches are limited by the small sizes of miRNAs as well as amplification bias/artifacts. Herein, we report on an amplification-free miRNA assay based on elevated affinity interaction between poly-adenylated miRNA and bare gold electrode. The poly(A) extension on 3' ends of magnetically-isolated miRNA targets facilitated high adsorption efficiency onto gold electrode surfaces for electrochemical detection without any cumbersome electrode surface functionalization procedures. The assay showed excellent detection sensitivity (10 fM) and specificity, and was demonstrated for quantitative miR-107 detection in human cancer cell lines and clinical urine samples. We believe our assay could be useful as an amplification-free alternative for miRNA detection. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Student > Master | 9 | 16% |
| Researcher | 7 | 12% |
| Student > Doctoral Student | 6 | 10% |
| Professor | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 24% |
| Engineering | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 6 | 10% |
| Physics and Astronomy | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 18 | 31% |
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 28 January 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from Analytical Chemistry
#24,326
of 26,480 outputs
Outputs of similar age
#333,204
of 396,346 outputs
Outputs of similar age from Analytical Chemistry
#196
of 220 outputs
Altmetric has tracked 22,842,950 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 26,480 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 220 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.