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Live Poultry Trading Drives China's H7N9 Viral Evolution and Geographical Network Propagation

Overview of attention for article published in Frontiers in Public Health, July 2018
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Live Poultry Trading Drives China's H7N9 Viral Evolution and Geographical Network Propagation
Published in
Frontiers in Public Health, July 2018
DOI 10.3389/fpubh.2018.00210
Pubmed ID
Authors

Ruiyun Li, Tao Zhang, Yuqi Bai, Haochuan Li, Yong Wang, Yuhai Bi, Jianyu Chang, Bing Xu

Abstract

The on-going reassortment, human-adapted mutations, and spillover events of novel A(H7N9) avian influenza viruses pose a significant challenge to public health in China and globally. However, our understanding of the factors that disseminate the viruses and drive their geographic distributions is limited. We applied phylogenic analysis to examine the inter-subtype interactions between H7N9 viruses and the closest H9N2 lineages in China during 2010-2014. We reconstructed and compared the inter-provincial live poultry trading and viral propagation network via phylogeographic approach and network similarity technique. The substitution rates of the isolated viruses in live poultry markets and the characteristics of localized viral evolution were also evaluated. We discovered that viral propagation was geographically-structured and followed the live poultry trading network in China, with distinct north-to-east paths of spread and circular transmission between eastern and southern regions. The epicenter of H7N9 has moved from the Shanghai-Zhejiang region to Guangdong Province was also identified. Besides, higher substitution rate was observed among isolates sampled from live poultry markets, especially for those H7N9 viruses. Live poultry trading in China may have driven the network-structured expansion of the novel H7N9 viruses. From this perspective, long-distance geographic expansion of H7N9 were dominated by live poultry movements, while at local scales, diffusion was facilitated by live poultry markets with highly-evolved viruses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 27%
Researcher 3 20%
Student > Ph. D. Student 2 13%
Student > Master 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Veterinary Science and Veterinary Medicine 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Business, Management and Accounting 1 7%
Mathematics 1 7%
Other 2 13%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 August 2018.
All research outputs
#3,287,138
of 23,098,660 outputs
Outputs from Frontiers in Public Health
#1,269
of 10,418 outputs
Outputs of similar age
#67,545
of 330,334 outputs
Outputs of similar age from Frontiers in Public Health
#29
of 84 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,418 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 87% 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 330,334 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 79% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.