↓ Skip to main content

Co-circulation of multiple genotypes of influenza A (H7N9) viruses in eastern China, 2016-2017

Overview of attention for article published in Archives of Virology, March 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
Title
Co-circulation of multiple genotypes of influenza A (H7N9) viruses in eastern China, 2016-2017
Published in
Archives of Virology, March 2018
DOI 10.1007/s00705-018-3800-3
Pubmed ID
Authors

Xian Qi, Xiaofei An, Yongjun Jiao, Huiyan Yu, Ke Xu, Lunbiao Cui, Shenjiao Wang, Fei Deng, Xiang Huo, Haodi Huang, Qigang Dai, Changjun Bao

Abstract

Five epidemic waves of human infection with influenza A (H7N9) virus have emerged in China since spring 2013. We previously described the epidemiological characterization of the fifth wave in Jiangsu province. In this study, 41 H7N9 viruses from patients and live-poultry markets were isolated and sequenced to further elucidate the genetic features of viruses of the fifth wave in Jiangsu province. Phylogenetic analysis revealed substantial genetic diversity in the internal genes, and 18 genotypes were identified from the 41 H7N9 virus strains. Furthermore, our data revealed that 41 isolates from Jiangsu contained the G186V and Q226L/I mutations in their haemagglutinin (HA) protein, which may increase the ability of these viruses to bind the human receptor. Four basic amino acid insertions were not observed in the HA cleavage sites of 167 H7N9 viruses from Jiangsu, which revealed that highly pathogenic avian influenza (HPAI) H7N9 viruses did not spread to Jiangsu province in the fifth wave. These findings revealed that multiple genotypes of H7N9 viruses co-circulated in the fifth wave in Jiangsu province, which indicated that the viruses have undergone ongoing evolution with genetic mutation and reassortment. Our study highlights the need to constantly monitor the evolution of H7N9 viruses and reinforce systematic influenza surveillance of humans, birds, and pigs in China.

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 18%
Researcher 2 12%
Student > Doctoral Student 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 8 47%
Readers by discipline Count As %
Immunology and Microbiology 4 24%
Agricultural and Biological Sciences 2 12%
Nursing and Health Professions 1 6%
Medicine and Dentistry 1 6%
Unknown 9 53%
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 29 March 2018.
All research outputs
#3,273,465
of 23,028,364 outputs
Outputs from Archives of Virology
#185
of 4,208 outputs
Outputs of similar age
#69,676
of 333,763 outputs
Outputs of similar age from Archives of Virology
#4
of 92 outputs
Altmetric has tracked 23,028,364 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 4,208 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 333,763 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 92 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 95% of its contemporaries.