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Genotyping of Single-Nucleotide Polymorphisms by High-Resolution Melting of Small Amplicons

Overview of attention for article published in Clinical Chemistry, July 2004
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

policy
1 policy source
patent
101 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
539 Dimensions

Readers on

mendeley
415 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Genotyping of Single-Nucleotide Polymorphisms by High-Resolution Melting of Small Amplicons
Published in
Clinical Chemistry, July 2004
DOI 10.1373/clinchem.2004.032136
Pubmed ID
Authors

Michael Liew, Robert Pryor, Robert Palais, Cindy Meadows, Maria Erali, Elaine Lyon, Carl Wittwer

Abstract

High-resolution melting of PCR amplicons with the DNA dye LCGreen I was recently introduced as a homogeneous, closed-tube method of genotyping that does not require probes or real-time PCR. We adapted this system to genotype single-nucleotide polymorphisms (SNPs) after rapid-cycle PCR (12 min) of small amplicons (</=50 bp).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 415 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 <1%
Brazil 4 <1%
France 3 <1%
Belgium 3 <1%
Spain 3 <1%
Uruguay 2 <1%
Japan 2 <1%
United States 2 <1%
United Kingdom 2 <1%
Other 10 2%
Unknown 380 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 86 21%
Student > Ph. D. Student 77 19%
Student > Master 58 14%
Student > Bachelor 33 8%
Student > Doctoral Student 24 6%
Other 78 19%
Unknown 59 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 205 49%
Biochemistry, Genetics and Molecular Biology 62 15%
Medicine and Dentistry 32 8%
Engineering 11 3%
Immunology and Microbiology 5 1%
Other 30 7%
Unknown 70 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 April 2024.
All research outputs
#2,029,825
of 26,017,215 outputs
Outputs from Clinical Chemistry
#273
of 7,840 outputs
Outputs of similar age
#2,604
of 61,275 outputs
Outputs of similar age from Clinical Chemistry
#2
of 48 outputs
Altmetric has tracked 26,017,215 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 7,840 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 95% 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 61,275 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 94% of its contemporaries.
We're also able to compare this research output to 48 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 95% of its contemporaries.