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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of RNA folding free energy in the evolution of the polymerase genes of the influenza A virus
|
|---|---|
| Published in |
Genome Biology, February 2009
|
| DOI | 10.1186/gb-2009-10-2-r18 |
| Pubmed ID | |
| Authors |
Rachel Brower-Sinning, Donald M Carter, Corey J Crevar, Elodie Ghedin, Ted M Ross, Panayiotis V Benos |
| Abstract |
The influenza A virus genome is composed of eight single-stranded RNA segments of negative polarity. Although the hemagglutinin and neuraminidase genes are known to play a key role in host adaptation, the polymerase genes (which encode the polymerase segments PB2, PB1, PA) and the nucleoprotein gene are also important for the efficient propagation of the virus in the host and for its adaptation to new hosts. Current efforts to understand the host-specificity of the virus have largely focused on the amino acid differences between avian and human isolates. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Denmark | 1 | 2% |
| United States | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 53 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 29% |
| Researcher | 12 | 20% |
| Other | 7 | 12% |
| Student > Master | 7 | 12% |
| Professor | 6 | 10% |
| Other | 9 | 15% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 56% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Immunology and Microbiology | 5 | 8% |
| Physics and Astronomy | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 3 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 February 2015.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Genome Biology
#4,233
of 4,467 outputs
Outputs of similar age
#176,396
of 189,138 outputs
Outputs of similar age from Genome Biology
#21
of 24 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 4th percentile – i.e., 4% 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 189,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.