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Inaccurate identification of rotavirus genotype G9 as genotype G3 strains due to primer mismatch

Overview of attention for article published in Virology Journal, August 2012
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Title
Inaccurate identification of rotavirus genotype G9 as genotype G3 strains due to primer mismatch
Published in
Virology Journal, August 2012
DOI 10.1186/1743-422x-9-144
Pubmed ID
Authors

Marcelo Takahiro Mitui, TGA Nilmini Chandrasena, Paul KS Chan, Shaman Rajindrajith, E Anthony S Nelson, Ting Fan Leung, Akira Nishizono, Kamruddin Ahmed

Abstract

Reverse transcription (RT)-PCR is now the standard method for typing group A rotaviruses (RVA) to monitor the circulating genotypes in a population. Selection of primers that can accurately type the circulating genotypes is crucial in the context of vaccine introduction and correctly interpreting the impact of vaccination on strain distribution. To our knowledge this study is the first report from Asia of misidentification of genotype G9 as G3 due to a primer-template mismatch. We tested two published G-genotype specific primers sets, designed by Gouvea and colleagues (Set A) and Iturriza-Gomara and colleagues (Set B) on RVA from Hong Kong and Sri Lanka. Among 52 rotaviruses typed as G3 by set A primers, 36 (69.2%) were identified as G9 by nucleotide sequencing and set B primers. Moreover, of 300 rotaviruses tested, 28.3% were untypable by set A primers whereas only 12.3% were untypable by set B primers. Our findings reinforce the need to periodically monitor the primers used for RVA genotyping.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Researcher 4 18%
Lecturer > Senior Lecturer 2 9%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 2 9%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Biochemistry, Genetics and Molecular Biology 4 18%
Medicine and Dentistry 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 August 2012.
All research outputs
#15,248,503
of 22,673,450 outputs
Outputs from Virology Journal
#1,935
of 3,029 outputs
Outputs of similar age
#104,539
of 164,731 outputs
Outputs of similar age from Virology Journal
#37
of 82 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 164,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.