↓ Skip to main content

Reassortment of Avian Influenza A/H6N6 Viruses from Live Poultry Markets in Guangdong, China

Overview of attention for article published in Frontiers in Microbiology, February 2016
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Reassortment of Avian Influenza A/H6N6 Viruses from Live Poultry Markets in Guangdong, China
Published in
Frontiers in Microbiology, February 2016
DOI 10.3389/fmicb.2016.00065
Pubmed ID
Authors

Runyu Yuan, Lirong Zou, Yinfeng Kang, Jie Wu, Xianqiao Zeng, Jing Lu, Lijun Liang, Yingchao Song, Xin Zhang, Hanzhong Ni, Jinyan Lin, Ming Liao, Changwen Ke

Abstract

Since early 2013, H7N9-subtype avian influenza virus (AIV) has caused human infection in eastern China. To evaluate AIV contamination and the public risk of infection, we systematically implemented environmental sampling from live poultry markets in Guangdong Province. Through real-time polymerase chain reaction assays and next-generation sequencing, we generated full nucleotide sequences of all 10 H6N6 AIVs isolated during sampling. Focusing on sequence analyses of hemagglutinin genes of the 10 H6N6 AIVs revealed that the viruses were low pathogenic AIVs with the typical hemagglutinin cleavage site of P-Q-I-E-T-R-G. The hemagglutinin, neuraminidase, and nucleocapsid genes of nine AIVs were of ST2853-like (H6-subtype) lineage, ST192-like (N6-subtype) lineage, and HN573-like (H6-subtype) lineage, respectively; whereas the other five genes were of ST339-like (H6-subtype) lineage. However, the polymerase PB2 and nucleocapsid genes of one strain (HZ057) were of GS/GD-like (H5N1-subtype) and ST339-like lineages. Phylogenic analysis revealed that all eight genes of the 10 viruses belonged to Eurasian avian lineage. Altogether, the 10 AIVs were reassortants of different genetic groups of exchanges with the same virus subtype, thus illustrating the genetic diversity and complexity of H6N6-subtype AIVs in Guangdong Province.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 4 25%
Professor 2 13%
Student > Bachelor 2 13%
Researcher 1 6%
Other 0 0%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Veterinary Science and Veterinary Medicine 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Immunology and Microbiology 1 6%
Unknown 5 31%
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 24 February 2016.
All research outputs
#18,438,457
of 22,844,985 outputs
Outputs from Frontiers in Microbiology
#19,353
of 24,846 outputs
Outputs of similar age
#287,678
of 397,234 outputs
Outputs of similar age from Frontiers in Microbiology
#375
of 482 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,846 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 9th percentile – i.e., 9% 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 397,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 482 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.