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X Demographics
Mendeley readers
| Title |
Canalization of the evolutionary trajectory of the human influenza virus
|
|---|---|
| Published in |
BMC Biology, April 2012
|
| DOI | 10.1186/1741-7007-10-38 |
| Pubmed ID | |
| Authors |
Trevor Bedford, Andrew Rambaut, Mercedes Pascual |
| Abstract |
Since its emergence in 1968, influenza A (H3N2) has evolved extensively in genotype and antigenic phenotype. However, despite strong pressure to evolve away from human immunity and to diversify in antigenic phenotype, H3N2 influenza shows paradoxically limited genetic and antigenic diversity present at any one time. Here, we propose a simple model of antigenic evolution in the influenza virus that accounts for this apparent discrepancy. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 3 | 60% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 2% |
| United States | 4 | 2% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Mexico | 1 | <1% |
| Vietnam | 1 | <1% |
| Japan | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 164 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 29% |
| Researcher | 49 | 28% |
| Student > Master | 14 | 8% |
| Student > Bachelor | 14 | 8% |
| Professor | 12 | 7% |
| Other | 24 | 13% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 40% |
| Mathematics | 13 | 7% |
| Computer Science | 11 | 6% |
| Biochemistry, Genetics and Molecular Biology | 10 | 6% |
| Immunology and Microbiology | 10 | 6% |
| Other | 32 | 18% |
| Unknown | 30 | 17% |