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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evidence of host-virus co-evolution in tetranucleotide usage patterns of bacteriophages and eukaryotic viruses
|
|---|---|
| Published in |
BMC Genomics, January 2006
|
| DOI | 10.1186/1471-2164-7-8 |
| Pubmed ID | |
| Authors |
David T Pride, Trudy M Wassenaar, Chandrabali Ghose, Martin J Blaser |
| Abstract |
Virus taxonomy is based on morphologic characteristics, as there are no widely used non-phenotypic measures for comparison among virus families. We examined whether there is phylogenetic signal in virus nucleotide usage patterns that can be used to determine ancestral relationships. The well-studied model of tail morphology in bacteriophage classification was used for comparison with nucleotide usage patterns. Tetranucleotide usage deviation (TUD) patterns were chosen since they have previously been shown to contain phylogenetic signal similar to that of 16S rRNA. |
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 649 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 645 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 5% |
| Student > Ph. D. Student | 32 | 5% |
| Student > Master | 19 | 3% |
| Student > Bachelor | 12 | 2% |
| Professor | 8 | 1% |
| Other | 14 | 2% |
| Unknown | 530 | 82% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 10% |
| Biochemistry, Genetics and Molecular Biology | 22 | 3% |
| Immunology and Microbiology | 5 | <1% |
| Environmental Science | 5 | <1% |
| Medicine and Dentistry | 4 | <1% |
| Other | 13 | 2% |
| Unknown | 535 | 82% |
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 10 January 2012.
All research outputs
#18,303,566
of 22,661,413 outputs
Outputs from BMC Genomics
#8,141
of 10,612 outputs
Outputs of similar age
#148,130
of 155,336 outputs
Outputs of similar age from BMC Genomics
#17
of 19 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 155,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.