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A generic assay for whole-genome amplification and deep sequencing of enterovirus A71

Overview of attention for article published in Journal of Virological Methods, February 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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58 Mendeley
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Article details
Title
A generic assay for whole-genome amplification and deep sequencing of enterovirus A71
Published in
Journal of Virological Methods, February 2015
DOI 10.1016/j.jviromet.2015.02.011
Pubmed ID
Authors
Abstract

Enterovirus 71 (EV-A71) has emerged as the most important cause of large outbreaks of severe and sometimes fatal hand, foot and mouth disease (HFMD) across the Asia-Pacific region. EV-A71 outbreaks have been associated with (sub)genogroup switches, sometimes accompanied by recombination events. Understanding EV-A71 population dynamics is therefore essential for understanding this emerging infection, and may provide pivotal information for vaccine development. Despite the public health burden of EV-A71, relatively few EV-A71 complete-genome sequences are available for analysis and from limited geographical localities. The availability of an efficient procedure for whole-genome sequencing would stimulate effort to generate more viral sequence data. Herein, we report for the first time the development of a next-generation sequencing based protocol for whole-genome sequencing of EV-A71 directly from clinical specimens. We were able to sequence viruses of subgenogroup C4 and B5, while RNA from culture materials of diverse EV-A71 subgenogroups belonging to both genogroup B and C was successfully amplified. The nature of intra-host genetic diversity was explored in 22 clinical samples, revealing 107 positions carrying minor variants (ranging from 0 to 15 variants per sample). Our analysis of EV-A71 strains sampled in 2013 showed that they all belonged to subgenogroup B5, representing the first report of this subgenogroup in Vietnam. In conclusion, we have successfully developed a high-throughput next-generation sequencing-based assay for whole-genome sequencing of EV-A71 from clinical samples.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 22%
Student > Master 10 17%
Student > Ph. D. Student 9 16%
Student > Doctoral Student 3 5%
Other 2 3%
Other 6 10%
Unknown 15 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 17 29%
Medicine and Dentistry 7 12%
Biochemistry, Genetics and Molecular Biology 6 10%
Immunology and Microbiology 4 7%
Business, Management and Accounting 1 2%
Other 6 10%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 April 2019.
All research outputs
#10,846,634
of 33,738,238 outputs
Outputs from Journal of Virological Methods
#1,747
of 4,315 outputs
Outputs of similar age
#97,264
of 292,642 outputs
Outputs of similar age from Journal of Virological Methods
#9
of 30 outputs
Altmetric has tracked 33,738,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,315 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 59% 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 292,642 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 66% of its contemporaries.
We're also able to compare this research output to 30 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 70% of its contemporaries.