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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Continuing Reassortant of H5N6 Subtype Highly Pathogenic Avian Influenza Virus in Guangdong
|
|---|---|
| Published in |
Frontiers in Microbiology, April 2016
|
| DOI | 10.3389/fmicb.2016.00520 |
| Pubmed ID | |
| Authors |
Runyu Yuan, Zheng Wang, Yinfeng Kang, Jie Wu, Lirong Zou, Lijun Liang, Yingchao Song, Xin Zhang, Hanzhong Ni, Jinyan Lin, Changwen Ke |
| Abstract |
First identified in May 2014 in China's Sichuan Province, initial cases of H5N6 avian influenza virus (AIV) infection in humans raised great concerns about the virus's prevalence, origin, and development. To evaluate both AIV contamination in live poultry markets (LPMs) and the risk of AIV infection in humans, we have conducted surveillance of LPMs in Guangdong Province since 2013 as part of environmental sampling programs. With environmental samples associated with these LPMs, we performed genetic and phylogenetic analyses of 10 H5N6 AIVs isolated from different cities of Guangdong Province from different years. Results revealed that the H5N6 viruses were reassortants with hemagglutinin (HA) genes derived from clade 2.3.4.4 of H5-subtype AIV, yet neuraminidase (NA) genes derived from H6N6 AIV. Unlike the other seven H5N6 viruses isolated in first 7 months of 2014, all of which shared remarkable sequence similarity with the H5N1 AIV in all internal genes, the PB2 genes of GZ693, GZ670, and ZS558 more closely related to H6N6 AIV and the PB1 gene of GZ693 to the H3-subtype AIV. Phylogenetic analyses revealed that the environmental H5N6 AIV related closely to human H5N6 AIVs isolated in Guangdong. These results thus suggest that continued reassortment has enabled the emergence of a novel H5N6 virus in Guangdong, as well as highlight the potential risk of highly pathogenic H5N6 AIVs in the province. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 25% |
| Student > Master | 5 | 18% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Medicine and Dentistry | 3 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Mathematics | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 9 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 November 2016.
All research outputs
#3,536,005
of 22,862,742 outputs
Outputs from Frontiers in Microbiology
#3,166
of 24,874 outputs
Outputs of similar age
#56,605
of 300,837 outputs
Outputs of similar age from Frontiers in Microbiology
#109
of 560 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,874 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 300,837 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 81% of its contemporaries.
We're also able to compare this research output to 560 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.