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A tool for design of primers for microRNA-specific quantitative RT-qPCR

Overview of attention for article published in BMC Bioinformatics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
8 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
337 Mendeley
citeulike
2 CiteULike
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Title
A tool for design of primers for microRNA-specific quantitative RT-qPCR
Published in
BMC Bioinformatics, January 2014
DOI 10.1186/1471-2105-15-29
Pubmed ID
Authors

Peter K Busk

Abstract

MicroRNAs are small but biologically important RNA molecules. Although different methods can be used for quantification of microRNAs, quantitative PCR is regarded as the reference that is used to validate other methods. Several commercial qPCR assays are available but they often come at a high price and the sequences of the primers are not disclosed. An alternative to commercial assays is to manually design primers but this work is tedious and, hence, not practical for the design of primers for a larger number of targets.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Spain 2 <1%
Denmark 2 <1%
India 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Russia 1 <1%
Netherlands 1 <1%
Other 2 <1%
Unknown 321 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 23%
Researcher 74 22%
Student > Master 46 14%
Student > Bachelor 30 9%
Student > Doctoral Student 23 7%
Other 47 14%
Unknown 40 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 128 38%
Biochemistry, Genetics and Molecular Biology 99 29%
Medicine and Dentistry 22 7%
Veterinary Science and Veterinary Medicine 9 3%
Immunology and Microbiology 8 2%
Other 24 7%
Unknown 47 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 September 2019.
All research outputs
#2,578,693
of 15,857,043 outputs
Outputs from BMC Bioinformatics
#1,063
of 5,726 outputs
Outputs of similar age
#39,965
of 256,899 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 217 outputs
Altmetric has tracked 15,857,043 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,726 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 256,899 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 84% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.