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Whole Genome Sequencing of Enterovirus species C Isolates by High-Throughput Sequencing: Development of Generic Primers

Overview of attention for article published in Frontiers in Microbiology, August 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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2 X users
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2 Google+ users

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36 Mendeley
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Title
Whole Genome Sequencing of Enterovirus species C Isolates by High-Throughput Sequencing: Development of Generic Primers
Published in
Frontiers in Microbiology, August 2016
DOI 10.3389/fmicb.2016.01294
Pubmed ID
Authors

Maël Bessaud, Serge A. Sadeuh-Mba, Marie-Line Joffret, Richter Razafindratsimandresy, Patsy Polston, Romain Volle, Mala Rakoto-Andrianarivelo, Bruno Blondel, Richard Njouom, Francis Delpeyroux

Abstract

Enteroviruses are among the most common viruses infecting humans and can cause diverse clinical syndromes ranging from minor febrile illness to severe and potentially fatal diseases. Enterovirus species C (EV-C) consists of more than 20 types, among which the three serotypes of polioviruses, the etiological agents of poliomyelitis, are included. Biodiversity and evolution of EV-C genomes are shaped by frequent recombination events. Therefore, identification and characterization of circulating EV-C strains require the sequencing of different genomic regions. A simple method was developed to quickly sequence the entire genome of EV-C isolates. Four overlapping fragments were produced separately by RT-PCR performed with generic primers. The four amplicons were then pooled and purified prior to being sequenced by a high-throughput technique. The method was assessed on a panel of EV-Cs belonging to a wide-range of types. It can be used to determine full-length genome sequences through de novo assembly of thousands of reads. It was also able to discriminate reads from closely related viruses in mixtures. By decreasing the workload compared to classical Sanger-based techniques, this method will serve as a precious tool for sequencing large panels of EV-Cs isolated in cell cultures during environmental surveillance or from patients, including vaccine-derived polioviruses.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 25%
Student > Ph. D. Student 7 19%
Student > Bachelor 4 11%
Researcher 4 11%
Student > Postgraduate 2 6%
Other 3 8%
Unknown 7 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 25%
Immunology and Microbiology 8 22%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 2 6%
Chemical Engineering 1 3%
Other 3 8%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 October 2016.
All research outputs
#2,615,040
of 22,888,307 outputs
Outputs from Frontiers in Microbiology
#2,175
of 24,928 outputs
Outputs of similar age
#46,753
of 338,627 outputs
Outputs of similar age from Frontiers in Microbiology
#61
of 426 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,928 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 91% 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 338,627 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 86% of its contemporaries.
We're also able to compare this research output to 426 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.