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A simple, rapid, low-cost technique for naked-eye detection of urine-isolated TMPRSS2:ERG gene fusion RNA

Overview of attention for article published in Scientific Reports, July 2016
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Title
A simple, rapid, low-cost technique for naked-eye detection of urine-isolated TMPRSS2:ERG gene fusion RNA
Published in
Scientific Reports, July 2016
DOI 10.1038/srep30722
Pubmed ID
Authors

Kevin M. Koo, Eugene J. H. Wee, Paul N. Mainwaring, Matt Trau

Abstract

The TMPRSS2:ERG gene fusion is one of a series of highly promising prostate cancer (PCa) biomarker alternatives to the controversial serum PSA. Current methods for detecting TMPRSS2:ERG are limited in terms of long processing time, high cost and the need for specialized equipment. Thus, there is an unmet need for less complex, faster, and cheaper methods to enable gene fusion detection in the clinic. We describe herein a simple, rapid and inexpensive assay which combines robust isothermal amplification technique with a novel visualization method for evaluating urinary TMPRSS2:ERG status at less than USD 5 and with minimal equipment. The assay is sensitive, and rapidly detects as low as 10(5) copies of TMPRSS2:ERG transcripts while maintaining high levels of specificity.

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The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 6 16%
Student > Bachelor 5 14%
Student > Doctoral Student 4 11%
Student > Master 3 8%
Other 7 19%
Unknown 5 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 27%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 3 8%
Unspecified 2 5%
Engineering 2 5%
Other 5 14%
Unknown 10 27%
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 08 August 2016.
All research outputs
#17,811,816
of 22,882,389 outputs
Outputs from Scientific Reports
#87,312
of 123,614 outputs
Outputs of similar age
#267,535
of 365,423 outputs
Outputs of similar age from Scientific Reports
#2,492
of 3,626 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,614 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 365,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,626 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.