| Title |
Evolutionary History and Phylodynamics of Influenza A and B Neuraminidase (NA) Genes Inferred from Large-Scale Sequence Analyses
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0038665 |
| Pubmed ID | |
| Authors |
Jianpeng Xu, C. Todd Davis, Mary C. Christman, Pierre Rivailler, Haizhen Zhong, Ruben O. Donis, Guoqing Lu |
| Abstract |
Influenza neuraminidase (NA) is an important surface glycoprotein and plays a vital role in viral replication and drug development. The NA is found in influenza A and B viruses, with nine subtypes classified in influenza A. The complete knowledge of influenza NA evolutionary history and phylodynamics, although critical for the prevention and control of influenza epidemics and pandemics, remains lacking. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| New Zealand | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Vietnam | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 92 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 17 | 18% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 10 | 10% |
| Student > Postgraduate | 9 | 9% |
| Other | 9 | 9% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 35% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Immunology and Microbiology | 8 | 8% |
| Medicine and Dentistry | 8 | 8% |
| Computer Science | 3 | 3% |
| Other | 14 | 14% |
| Unknown | 18 | 19% |