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Mendeley readers
Attention Score in Context
| Title |
Horizontal gene transfer and nucleotide compositional anomaly in large DNA viruses
|
|---|---|
| Published in |
BMC Genomics, December 2007
|
| DOI | 10.1186/1471-2164-8-456 |
| Pubmed ID | |
| Authors |
Adam Monier, Jean-Michel Claverie, Hiroyuki Ogata |
| Abstract |
DNA viruses have a wide range of genome sizes (5 kb up to 1.2 Mb, compared to 0.16 Mb to 1.5 Mb for obligate parasitic bacteria) that do not correlate with their virulence or the taxonomic distribution of their hosts. The reasons for such large variation are unclear. According to the traditional view of viruses as gifted "gene pickpockets", large viral genome sizes could originate from numerous gene acquisitions from their hosts. We investigated this hypothesis by studying 67 large DNA viruses with genome sizes larger than 150 kb, including the recently characterized giant mimivirus. Given that horizontally transferred DNA often have anomalous nucleotide compositions differing from the rest of the genome, we conducted a detailed analysis of the inter- and intra-genome compositional properties of these viruses. We then interpreted their compositional heterogeneity in terms of possible causes, including strand asymmetry, gene function/expression, and horizontal transfer. |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Brazil | 3 | 4% |
| Germany | 2 | 2% |
| Canada | 2 | 2% |
| France | 1 | 1% |
| Norway | 1 | 1% |
| Colombia | 1 | 1% |
| Spain | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 66 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 26% |
| Researcher | 17 | 21% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 8 | 10% |
| Student > Bachelor | 6 | 7% |
| Other | 13 | 16% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 54% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Computer Science | 4 | 5% |
| Environmental Science | 3 | 4% |
| Chemistry | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 12 | 15% |
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 09 April 2008.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from BMC Genomics
#6,658
of 10,612 outputs
Outputs of similar age
#130,747
of 155,623 outputs
Outputs of similar age from BMC Genomics
#68
of 86 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 29th percentile – i.e., 29% 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 155,623 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 86 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.