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Avian influenza viruses (AIVs) H9N2 are in the course of reassorting into novel AIVs

Overview of attention for article published in Journal of Zhejiang University - Science B, May 2018
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Title
Avian influenza viruses (AIVs) H9N2 are in the course of reassorting into novel AIVs
Published in
Journal of Zhejiang University - Science B, May 2018
DOI 10.1631/jzus.b1700374
Pubmed ID
Authors

Hui-ping Chang, Li Peng, Liang Chen, Lu-fang Jiang, Zhi-jie Zhang, Cheng-long Xiong, Gen-ming Zhao, Yue Chen, Qing-wu Jiang

Abstract

In 2013, two episodes of influenza emerged in China and caused worldwide concern. A new H7N9 avian influenza virus (AIV) first appeared in China on February 19, 2013. By August 31, 2013, the virus had spread to ten provinces and two metropolitan cities. Of 134 patients with H7N9 influenza, 45 died. From then on, epidemics emerged sporadically in China and resulted in several victims. On November 30, 2013, a 73-year-old woman presented with an influenza-like illness. She developed multiple organ failure and died 9 d after the onset of disease. A novel reassortant AIV, H10N8, was isolated from a tracheal aspirate specimen that was obtained from the patient 7 d after onset. This case was the first human case of influenza A subtype H10N8. On 4 February, 2014, another death due to H10N8 avian influenza was reported in Jiangxi Province, China.

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 %
Researcher 3 20%
Student > Doctoral Student 2 13%
Unspecified 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Other 2 13%
Unknown 5 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 20%
Unspecified 1 7%
Environmental Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Agricultural and Biological Sciences 1 7%
Other 4 27%
Unknown 4 27%