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Nucleotide composition of the Zika virus RNA genome and its codon usage

Overview of attention for article published in Virology Journal, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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6 X users
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1 Wikipedia page

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161 Mendeley
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Title
Nucleotide composition of the Zika virus RNA genome and its codon usage
Published in
Virology Journal, June 2016
DOI 10.1186/s12985-016-0551-1
Pubmed ID
Authors

Formijn van Hemert, Ben Berkhout

Abstract

RNA viruses have genomes with a distinct nucleotide composition and codon usage. We present the global characteristics of the RNA genome of Zika virus (ZIKV), an emerging pathogen within the Flavivirus genus. ZIKV was first isolated in 1947 in Uganda, caused a widespread epidemic in South and Central America and the Caribbean in 2015 and has recently been associated with microcephaly in newborns. The nearly 11 kb positive-stranded RNA genome of ZIKV was analyzed for its nucleotide composition, also in the context of the folded RNA molecule. Nucleotide trends were investigated along the genome length by skew analyses and we analyzed the codons used for translation of the ZIKV proteins. ZIKV RNA has a biased nucleotide composition in being purine-rich and pyrimidine-poor. This preference for purines is a general characteristic of the mosquito-borne and tick-borne flaviviruses. The virus-specific nucleotide bias is further enriched in the unpaired, single-stranded regions of the structured ZIKV RNA genome, thus further imposing this ZIKV-specific signature. The codons used for translation of the ZIKV proteins is also unusual, but we show that it is the underlying bias in nucleotide composition of the viral RNA that largely dictates these codon preferences. The ZIKV RNA genome has a biased nucleotide composition that dictates the codon usage of this flavivirus. We discuss the evolutionary scenarios and molecular mechanisms that may be responsible for these distinctive ZIKV RNA genome features.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Saint Kitts and Nevis 1 <1%
Brazil 1 <1%
Unknown 158 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 18%
Student > Bachelor 26 16%
Student > Master 25 16%
Student > Ph. D. Student 23 14%
Other 11 7%
Other 30 19%
Unknown 17 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 20%
Agricultural and Biological Sciences 33 20%
Medicine and Dentistry 27 17%
Immunology and Microbiology 12 7%
Chemistry 7 4%
Other 23 14%
Unknown 26 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 June 2017.
All research outputs
#4,680,614
of 22,876,619 outputs
Outputs from Virology Journal
#468
of 3,051 outputs
Outputs of similar age
#81,477
of 340,472 outputs
Outputs of similar age from Virology Journal
#10
of 54 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has done well, scoring higher than 84% 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 340,472 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 75% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.