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Automated degenerate PCR primer design for high-throughput sequencing improves efficiency of viral sequencing

Overview of attention for article published in Virology Journal, November 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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3 X users
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1 patent

Citations

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30 Dimensions

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76 Mendeley
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Title
Automated degenerate PCR primer design for high-throughput sequencing improves efficiency of viral sequencing
Published in
Virology Journal, November 2012
DOI 10.1186/1743-422x-9-261
Pubmed ID
Authors

Kelvin Li, Susmita Shrivastava, Anushka Brownley, Dan Katzel, Jayati Bera, Anh Thu Nguyen, Vishal Thovarai, Rebecca Halpin, Timothy B Stockwell

Abstract

In a high-throughput environment, to PCR amplify and sequence a large set of viral isolates from populations that are potentially heterogeneous and continuously evolving, the use of degenerate PCR primers is an important strategy. Degenerate primers allow for the PCR amplification of a wider range of viral isolates with only one set of pre-mixed primers, thus increasing amplification success rates and minimizing the necessity for genome finishing activities. To successfully select a large set of degenerate PCR primers necessary to tile across an entire viral genome and maximize their success, this process is best performed computationally.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 20%
Student > Ph. D. Student 10 13%
Student > Master 9 12%
Student > Bachelor 9 12%
Professor 4 5%
Other 14 18%
Unknown 15 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 24%
Biochemistry, Genetics and Molecular Biology 15 20%
Immunology and Microbiology 8 11%
Medicine and Dentistry 4 5%
Unspecified 3 4%
Other 7 9%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 May 2021.
All research outputs
#6,113,412
of 22,684,168 outputs
Outputs from Virology Journal
#613
of 3,030 outputs
Outputs of similar age
#46,066
of 183,491 outputs
Outputs of similar age from Virology Journal
#13
of 90 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done well, scoring higher than 79% 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 183,491 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.