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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)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 X user
patent
14 patents

Readers on

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15 Mendeley
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Article details
Title
Rapid detection and identification of hepatitis C virus (HCV) sequences using mismatch-tolerant hybridization probes: A general method for analysis of sequence variation
Published in
Biotechniques, April 2018
DOI 10.2144/000114076
Pubmed ID
Authors
Abstract

Detection and identification of highly variable viral sequences is important for tracking infectious outbreaks and determining treatment regimens using targeted drug therapy. This report describes a single tube assay that is able to distinguish extensive sequence variation in hepatitis C virus (HCV) by using mismatch tolerant probes to analyze single-stranded amplicons generated with reverse transcription linear-after-the-exponential PCR (RT-LATE-PCR). Detection and identification of sequences from the 5' non-coding region (NCR) of 31 different HCV strains was first evaluated via hybridization of two fluorescently labeled, mismatch-tolerant probes to synthetic DNA strands. The resulting data were used to calculate the ratio of fluorescent signals for the two probes over a wide temperature range as well as the melting temperature (Tm) of each probe with the targets. Although the Tm measurements alone distinguished only 5 sequences from the others, fluorescent signal ratio analysis provided a unique set of values for 27 of the 31 strains. RT-LATE-PCR was then used to amplify Armored RNA (AR) containing the 5' NCR of five different strains of HCV. Melting analysis of the resulting single-stranded DNA with the two probes distinguished all five AR sequences. This assay can be expanded to include additional gene segments, and it points the way to construction of highly informative single-tube assays for HCV and other RNA viruses.

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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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Poland 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 47%
Professor > Associate Professor 3 20%
Other 2 13%
Professor 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 9 60%
Biochemistry, Genetics and Molecular Biology 3 20%
Immunology and Microbiology 2 13%
Materials Science 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 06 May 2025.
All research outputs
#3,650,139
of 34,365,356 outputs
Outputs from Biotechniques
#283
of 3,846 outputs
Outputs of similar age
#56,488
of 371,508 outputs
Outputs of similar age from Biotechniques
#68
of 616 outputs
Altmetric has tracked 34,365,356 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,846 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 92% 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 371,508 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 616 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.