| Title |
Whole genome molecular phylogeny of large dsDNA viruses using composition vector method
|
|---|---|
| Published in |
BMC Ecology and Evolution, March 2007
|
| DOI | 10.1186/1471-2148-7-41 |
| Pubmed ID | |
| Authors |
Lei Gao, Ji Qi |
| Abstract |
One important mechanism by which large DNA viruses increase their genome size is the addition of modules acquired from other viruses, host genomes or gene duplications. Phylogenetic analysis of large DNA viruses, especially using methods based on alignment, is often difficult due to the presence of horizontal gene transfer events. The recent composition vector approach, not sensitive to such events, is applied here to reconstruct the phylogeny of 124 large DNA viruses. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Brazil | 3 | 4% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| China | 1 | 1% |
| Unknown | 58 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Researcher | 14 | 21% |
| Student > Bachelor | 11 | 16% |
| Student > Master | 8 | 12% |
| Professor | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 43% |
| Computer Science | 11 | 16% |
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Environmental Science | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 5 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 August 2018.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#1,833
of 3,714 outputs
Outputs of similar age
#30,687
of 90,195 outputs
Outputs of similar age from BMC Ecology and Evolution
#20
of 44 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 48th percentile – i.e., 48% 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 90,195 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.