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Fluorescent signatures for variable DNA sequences

Overview of attention for article published in Nucleic Acids Research, August 2012
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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

news
1 news outlet
twitter
1 X user
patent
4 patents

Readers on

mendeley
52 Mendeley
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Article details
Title
Fluorescent signatures for variable DNA sequences
Published in
Nucleic Acids Research, August 2012
DOI 10.1093/nar/gks731
Pubmed ID
Authors
Abstract

Life abounds with genetic variations writ in sequences that are often only a few hundred nucleotides long. Rapid detection of these variations for identification of genetic diseases, pathogens and organisms has become the mainstay of molecular science and medicine. This report describes a new, highly informative closed-tube polymerase chain reaction (PCR) strategy for analysis of both known and unknown sequence variations. It combines efficient quantitative amplification of single-stranded DNA targets through LATE-PCR with sets of Lights-On/Lights-Off probes that hybridize to their target sequences over a broad temperature range. Contiguous pairs of Lights-On/Lights-Off probes of the same fluorescent color are used to scan hundreds of nucleotides for the presence of mutations. Sets of probes in different colors can be combined in the same tube to analyze even longer single-stranded targets. Each set of hybridized Lights-On/Lights-Off probes generates a composite fluorescent contour, which is mathematically converted to a sequence-specific fluorescent signature. The versatility and broad utility of this new technology is illustrated in this report by characterization of variant sequences in three different DNA targets: the rpoB gene of Mycobacterium tuberculosis, a sequence in the mitochondrial cytochrome C oxidase subunit 1 gene of nematodes and the V3 hypervariable region of the bacterial 16 s ribosomal RNA gene. We anticipate widespread use of these technologies for diagnostics, species identification and basic research.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Hungary 1 2%
Colombia 1 2%
Chile 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 6 12%
Professor 5 10%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 9 17%
Unknown 8 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 18 35%
Biochemistry, Genetics and Molecular Biology 11 21%
Medicine and Dentistry 4 8%
Physics and Astronomy 2 4%
Philosophy 1 2%
Other 4 8%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 March 2026.
All research outputs
#2,899,850
of 33,957,889 outputs
Outputs from Nucleic Acids Research
#3,385
of 33,416 outputs
Outputs of similar age
#16,961
of 218,903 outputs
Outputs of similar age from Nucleic Acids Research
#20
of 210 outputs
Altmetric has tracked 33,957,889 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 33,416 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 89% 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 218,903 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 210 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.