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Detection of siRNA induced mRNA silencing by RT-qPCR: considerations for experimental design

Overview of attention for article published in BMC Research Notes, March 2010
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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3 X users
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2 patents

Citations

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42 Dimensions

Readers on

mendeley
336 Mendeley
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1 CiteULike
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Title
Detection of siRNA induced mRNA silencing by RT-qPCR: considerations for experimental design
Published in
BMC Research Notes, March 2010
DOI 10.1186/1756-0500-3-53
Pubmed ID
Authors

Katherine Holmes, Catrin M Williams, Elinor A Chapman, Michael J Cross

Abstract

RNA interference (RNAi) has been one of the most rapidly expanding areas of biological research in the past decade, revolutionizing the ability to analyze gene function. Thorough validation of siRNA duplexes is required prior to use in experimental systems, ideally by western blotting to show a reduction in protein levels. However, in many cases good antibodies are not available, and researchers must rely on RT-qPCR to detect knockdown of the mRNA species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
India 2 <1%
United States 2 <1%
Norway 1 <1%
Turkey 1 <1%
New Zealand 1 <1%
Germany 1 <1%
Argentina 1 <1%
Slovenia 1 <1%
Other 0 0%
Unknown 323 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 87 26%
Researcher 54 16%
Student > Master 53 16%
Student > Bachelor 46 14%
Student > Doctoral Student 13 4%
Other 39 12%
Unknown 44 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 41%
Biochemistry, Genetics and Molecular Biology 78 23%
Medicine and Dentistry 20 6%
Engineering 8 2%
Immunology and Microbiology 8 2%
Other 35 10%
Unknown 50 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 July 2023.
All research outputs
#6,646,385
of 24,547,718 outputs
Outputs from BMC Research Notes
#976
of 4,421 outputs
Outputs of similar age
#31,066
of 97,413 outputs
Outputs of similar age from BMC Research Notes
#6
of 13 outputs
Altmetric has tracked 24,547,718 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,421 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 77% 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 97,413 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 68% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.