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X Demographics
Mendeley readers
Attention Score in Context
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 March 2020.
All research outputs
#14,683,892
of 23,510,717 outputs
Outputs from PLOS ONE
#122,977
of 201,403 outputs
Outputs of similar age
#98,200
of 165,521 outputs
Outputs of similar age from PLOS ONE
#2,285
of 3,947 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 201,403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 35th percentile – i.e., 35% 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 165,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,947 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.