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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
8 X users
patent
4 patents
facebook
1 Facebook page

Citations

dimensions_citation
194 Dimensions

Readers on

mendeley
464 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 464 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Denmark 2 <1%
Spain 2 <1%
India 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Canada 1 <1%
Russia 1 <1%
Netherlands 1 <1%
Other 2 <1%
Unknown 448 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 97 21%
Researcher 92 20%
Student > Master 57 12%
Student > Bachelor 40 9%
Student > Doctoral Student 28 6%
Other 58 13%
Unknown 92 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 31%
Biochemistry, Genetics and Molecular Biology 127 27%
Medicine and Dentistry 25 5%
Veterinary Science and Veterinary Medicine 13 3%
Neuroscience 13 3%
Other 40 9%
Unknown 103 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 February 2021.
All research outputs
#1,951,677
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#466
of 7,454 outputs
Outputs of similar age
#23,463
of 313,268 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 93 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 313,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.