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Validation of a multiplex reverse transcription and pre-amplification method using TaqMan® MicroRNA assays

Overview of attention for article published in Frontiers in Genetics, November 2014
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Title
Validation of a multiplex reverse transcription and pre-amplification method using TaqMan® MicroRNA assays
Published in
Frontiers in Genetics, November 2014
DOI 10.3389/fgene.2014.00413
Pubmed ID
Authors

Joane Le Carré, Séverine Lamon, Bertrand Léger

Abstract

Since the discovery of microRNAs (miRNAs), different approaches have been developed to label, amplify and quantify miRNAs. The TaqMan(®) technology, provided by Applied Biosystems (ABIs), uses a stem-loop reverse transcription primer system to reverse transcribe the RNA and amplify the cDNA. This method is widely used to identify global differences between the expression of 100s of miRNAs across comparative samples. This technique also allows the quantification of the expression of targeted miRNAs to validate observations determined by whole-genome screening or to analyze few specific miRNAs on a large number of samples. Here, we describe the validation of a method published by ABIs on their web site allowing to reverse transcribe and pre-amplify multiple miRNAs and snoRNAs simultaneously. The validation of this protocol was performed on human muscle and plasma samples. Fast and cost efficient, this method achieves an easy and convenient way to screen a relatively large number of miRNAs in parallel.

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

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
India 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 32%
Researcher 20 26%
Student > Master 6 8%
Student > Bachelor 5 6%
Student > Doctoral Student 3 4%
Other 8 10%
Unknown 11 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 35%
Agricultural and Biological Sciences 22 28%
Medicine and Dentistry 8 10%
Neuroscience 3 4%
Sports and Recreations 2 3%
Other 7 9%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 August 2022.
All research outputs
#15,655,964
of 25,261,240 outputs
Outputs from Frontiers in Genetics
#3,970
of 13,605 outputs
Outputs of similar age
#201,034
of 374,460 outputs
Outputs of similar age from Frontiers in Genetics
#57
of 109 outputs
Altmetric has tracked 25,261,240 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,605 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 67% 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 374,460 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.