↓ Skip to main content

Phylogenetic analysis revealed the central roles of two African countries in the evolution and worldwide spread of Zika virus

Overview of attention for article published in Virologica Sinica, April 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 573)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
6 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
136 Mendeley
Title
Phylogenetic analysis revealed the central roles of two African countries in the evolution and worldwide spread of Zika virus
Published in
Virologica Sinica, April 2016
DOI 10.1007/s12250-016-3774-9
Pubmed ID
Authors

Shu Shen, Junming Shi, Jun Wang, Shuang Tang, Hualin Wang, Zhihong Hu, Fei Deng

Abstract

Recent outbreaks of Zika virus (ZIKV) infections in Oceania's islands and the Americas were characterized by high numbers of cases and the spread of the virus to new areas. To better understand the origin of ZIKV, its epidemic history was reviewed. Although the available records and information are limited, two major genetic lineages of ZIKV were identified in previous studies. However, in this study, three lineages were identified based on a phylogenetic analysis of all virus sequences from GenBank, including those of the envelope protein (E) and non-structural protein 5 (NS5) coding regions. The spatial and temporal distributions of the three identified ZIKV lineages and the recombination events and mechanisms underlying their divergence and evolution were further elaborated. The potential migration pathway of ZIKV was also characterized. Our findings revealed the central roles of two African countries, Senegal and Cote d'Ivoire, in ZIKV evolution and genotypic divergence. Furthermore, our results suggested that the outbreaks in Asia and the Pacific islands originated from Africa. The results provide insights into the geographic origins of ZIKV outbreaks and the spread of the virus, and also contribute to a better understanding of ZIKV evolution, which is important for the prevention and control of ZIKV infections.

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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Brazil 2 1%
France 1 <1%
Unknown 131 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Researcher 24 18%
Student > Bachelor 18 13%
Student > Ph. D. Student 15 11%
Other 9 7%
Other 29 21%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 29%
Biochemistry, Genetics and Molecular Biology 23 17%
Medicine and Dentistry 20 15%
Immunology and Microbiology 9 7%
Veterinary Science and Veterinary Medicine 4 3%
Other 22 16%
Unknown 19 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 August 2019.
All research outputs
#2,380,504
of 22,867,327 outputs
Outputs from Virologica Sinica
#46
of 573 outputs
Outputs of similar age
#40,413
of 298,924 outputs
Outputs of similar age from Virologica Sinica
#1
of 13 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. 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 298,924 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 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.