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Analysis of codon usage and nucleotide composition bias in polioviruses

Overview of attention for article published in Virology Journal, March 2011
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3 Wikipedia pages

Citations

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49 Dimensions

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56 Mendeley
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Title
Analysis of codon usage and nucleotide composition bias in polioviruses
Published in
Virology Journal, March 2011
DOI 10.1186/1743-422x-8-146
Pubmed ID
Authors

Jie Zhang, Meng Wang, Wen-qian Liu, Jian-hua Zhou, Hao-tai Chen, Li-na Ma, Yao-zhong Ding, Yuan-xing Gu, Yong-sheng Liu

Abstract

Poliovirus, the causative agent of poliomyelitis, is a human enterovirus and a member of the family of Picornaviridae and among the most rapidly evolving viruses known. Analysis of codon usage can reveal much about the molecular evolution of the viruses. However, little information about synonymous codon usage pattern of polioviruses genome has been acquired to date.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Kenya 1 2%
France 1 2%
Venezuela, Bolivarian Republic of 1 2%
Sweden 1 2%
Unknown 50 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 18%
Student > Master 7 13%
Student > Postgraduate 4 7%
Other 3 5%
Other 8 14%
Unknown 13 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 29%
Biochemistry, Genetics and Molecular Biology 9 16%
Immunology and Microbiology 6 11%
Medicine and Dentistry 4 7%
Computer Science 2 4%
Other 5 9%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 November 2023.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Virology Journal
#898
of 3,042 outputs
Outputs of similar age
#39,794
of 108,817 outputs
Outputs of similar age from Virology Journal
#15
of 47 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,042 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 gotten more attention than average, scoring higher than 62% 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 108,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.