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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inference of Genotype–Phenotype Relationships in the Antigenic Evolution of Human Influenza A (H3N2) Viruses
|
|---|---|
| Published in |
PLoS Computational Biology, April 2012
|
| DOI | 10.1371/journal.pcbi.1002492 |
| Pubmed ID | |
| Authors |
Lars Steinbrück, Alice Carolyn McHardy |
| Abstract |
Distinguishing mutations that determine an organism's phenotype from (near-) neutral 'hitchhikers' is a fundamental challenge in genome research, and is relevant for numerous medical and biotechnological applications. For human influenza viruses, recognizing changes in the antigenic phenotype and a strains' capability to evade pre-existing host immunity is important for the production of efficient vaccines. We have developed a method for inferring 'antigenic trees' for the major viral surface protein hemagglutinin. In the antigenic tree, antigenic weights are assigned to all tree branches, which allows us to resolve the antigenic impact of the associated amino acid changes. Our technique predicted antigenic distances with comparable accuracy to antigenic cartography. Additionally, it identified both known and novel sites, and amino acid changes with antigenic impact in the evolution of influenza A (H3N2) viruses from 1968 to 2003. The technique can also be applied for inference of 'phenotype trees' and genotype-phenotype relationships from other types of pairwise phenotype distances. |
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% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 2 | 3% |
| Japan | 2 | 3% |
| Canada | 1 | 1% |
| Germany | 1 | 1% |
| Moldova, Republic of | 1 | 1% |
| Saudi Arabia | 1 | 1% |
| Unknown | 70 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 28% |
| Student > Ph. D. Student | 21 | 26% |
| Student > Doctoral Student | 7 | 9% |
| Student > Master | 7 | 9% |
| Professor | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 34% |
| Computer Science | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Veterinary Science and Veterinary Medicine | 4 | 5% |
| Other | 17 | 21% |
| Unknown | 14 | 18% |
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 01 May 2012.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#6,968
of 8,960 outputs
Outputs of similar age
#105,824
of 174,276 outputs
Outputs of similar age from PLoS Computational Biology
#72
of 103 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 19th percentile – i.e., 19% 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 174,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.