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Mutations in the non-structural protein region contribute to intra-genotypic evolution of enterovirus 71

Overview of attention for article published in Journal of Biomedical Science, April 2014
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1 tweeter

Citations

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25 Dimensions

Readers on

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22 Mendeley
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Title
Mutations in the non-structural protein region contribute to intra-genotypic evolution of enterovirus 71
Published in
Journal of Biomedical Science, April 2014
DOI 10.1186/1423-0127-21-33
Pubmed ID
Abstract

Clinical manifestations of enterovirus 71 (EV71) range from herpangina, hand-foot-and-mouth disease (HFMD), to severe neurological complications. Unlike the situation of switching genotypes seen in EV71 outbreaks during 1998-2008 in Taiwan, genotype B5 was responsible for two large outbreaks in 2008 and 2012, respectively. In China, by contrast, EV71 often persists as a single genotype in the population and causes frequent outbreaks. To investigate genetic changes in viral evolution, complete EV71 genome sequences were used to analyze the intra-genotypic evolution pattern in Taiwan, China, and the Netherlands.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Bachelor 4 18%
Researcher 4 18%
Student > Postgraduate 2 9%
Student > Master 2 9%
Other 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 55%
Medicine and Dentistry 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Immunology and Microbiology 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 1 5%
Unknown 1 5%

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 28 April 2014.
All research outputs
#2,061,242
of 3,700,900 outputs
Outputs from Journal of Biomedical Science
#106
of 198 outputs
Outputs of similar age
#49,942
of 96,305 outputs
Outputs of similar age from Journal of Biomedical Science
#9
of 14 outputs
Altmetric has tracked 3,700,900 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 198 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 32nd percentile – i.e., 32% 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 96,305 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 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.