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Cross-border spread, lineage displacement and evolutionary rate estimation of rabies virus in Yunnan Province, China

Overview of attention for article published in Virology Journal, June 2017
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Title
Cross-border spread, lineage displacement and evolutionary rate estimation of rabies virus in Yunnan Province, China
Published in
Virology Journal, June 2017
DOI 10.1186/s12985-017-0769-6
Pubmed ID
Authors

Yuzhen Zhang, Bram Vrancken, Yun Feng, Simon Dellicour, Qiqi Yang, Weihong Yang, Yunzhi Zhang, Lu Dong, Oliver G. Pybus, Hailin Zhang, Huaiyu Tian

Abstract

Rabies is an important but underestimated threat to public health, with most cases reported in Asia. Since 2000, a new epidemic wave of rabies has emerged in Yunnan Province, southwestern China, which borders three countries in Southeast Asia. We estimated gene-specific evolutionary rates for rabies virus using available data in GenBank, then used this information to calibrate the timescale of rabies virus (RABV) spread in Asia. We used 452 publicly available geo-referenced complete nucleoprotein (N) gene sequences, including 52 RABV sequences that were recently generated from samples collected in Yunnan between 2008 and 2012. The RABV N gene evolutionary rate was estimated to be 1.88 × 10(-4) (1.37-2.41 × 10(-4), 95% Bayesian credible interval, BCI) substitutions per site per year. Phylogenetic reconstructions show that the currently circulating RABV lineages in Yunnan result from at least seven independent introductions (95% BCI: 6-9 introductions) and represent each of the three main Asian RABV lineages, SEA-1, -2 and -3. We find that Yunnan is a sink location for the domestic spread of RABV and connects RABV epidemics in North China, South China, and Southeast Asia. Cross-border spread from southeast Asia (SEA) into South China, and intermixing of the North and South China epidemics is also well supported. The influx of RABV into Yunnan from SEA was not well-supported, likely due to the poor sampling of SEA RABV diversity. We found evidence for a lineage displacement of the Yunnan SEA-2 and -3 lineages by Yunnan SEA-1 strains, and considered whether this could be attributed to fitness differences. Overall, our study contributes to a better understanding of the spread of RABV that could facilitate future rabies virus control and prevention efforts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 27%
Researcher 6 16%
Student > Bachelor 5 14%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 2 5%
Other 3 8%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 22%
Veterinary Science and Veterinary Medicine 3 8%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Environmental Science 2 5%
Other 9 24%
Unknown 9 24%
Attention Score in Context

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 21 July 2017.
All research outputs
#15,464,404
of 22,979,862 outputs
Outputs from Virology Journal
#1,962
of 3,057 outputs
Outputs of similar age
#199,425
of 317,472 outputs
Outputs of similar age from Virology Journal
#25
of 46 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 26th percentile – i.e., 26% 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 317,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.