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Analysis of 454 sequencing error rate, error sources, and artifact recombination for detection of Low-frequency drug resistance mutations in HIV-1 DNA

Overview of attention for article published in Retrovirology, February 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs
1 blog
facebook
1 Facebook page

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
113 Mendeley
citeulike
1 CiteULike
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Title
Analysis of 454 sequencing error rate, error sources, and artifact recombination for detection of Low-frequency drug resistance mutations in HIV-1 DNA
Published in
Retrovirology, February 2013
DOI 10.1186/1742-4690-10-18
Pubmed ID
Authors

Wei Shao, Valerie F Boltz, Jonathan E Spindler, Mary F Kearney, Frank Maldarelli, John W Mellors, Claudia Stewart, Natalia Volfovsky, Alexander Levitsky, Robert M Stephens, John M Coffin

Abstract

454 sequencing technology is a promising approach for characterizing HIV-1 populations and for identifying low frequency mutations. The utility of 454 technology for determining allele frequencies and linkage associations in HIV infected individuals has not been extensively investigated. We evaluated the performance of 454 sequencing for characterizing HIV populations with defined allele frequencies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 2 2%
Canada 2 2%
United Kingdom 2 2%
Israel 1 <1%
Portugal 1 <1%
Czechia 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 102 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 27%
Student > Ph. D. Student 21 19%
Student > Master 12 11%
Other 10 9%
Student > Postgraduate 9 8%
Other 16 14%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 46%
Medicine and Dentistry 16 14%
Biochemistry, Genetics and Molecular Biology 15 13%
Immunology and Microbiology 7 6%
Mathematics 3 3%
Other 6 5%
Unknown 14 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 May 2013.
All research outputs
#5,493,259
of 22,696,971 outputs
Outputs from Retrovirology
#260
of 1,103 outputs
Outputs of similar age
#60,013
of 287,582 outputs
Outputs of similar age from Retrovirology
#6
of 17 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,103 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 76% 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 287,582 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 79% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.