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| Title |
Towards defining the chloroviruses: a genomic journey through a genus of large DNA viruses
|
|---|---|
| Published in |
BMC Genomics, March 2013
|
| DOI | 10.1186/1471-2164-14-158 |
| Pubmed ID | |
| Authors |
Adrien Jeanniard, David D Dunigan, James R Gurnon, Irina V Agarkova, Ming Kang, Jason Vitek, Garry Duncan, O William McClung, Megan Larsen, Jean-Michel Claverie, James L Van Etten, Guillaume Blanc |
| Abstract |
Giant viruses in the genus Chlorovirus (family Phycodnaviridae) infect eukaryotic green microalgae. The prototype member of the genus, Paramecium bursaria chlorella virus 1, was sequenced more than 15 years ago, and to date there are only 6 fully sequenced chloroviruses in public databases. Presented here are the draft genome sequences of 35 additional chloroviruses (287 - 348 Kb/319 - 381 predicted protein encoding genes) collected across the globe; they infect one of three different green algal species. These new data allowed us to analyze the genomic landscape of 41 chloroviruses, which revealed some remarkable features about these viruses. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 2 | 2% |
| Canada | 2 | 2% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 74 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 25% |
| Researcher | 16 | 19% |
| Student > Bachelor | 10 | 12% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Other | 8 | 10% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 48% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Environmental Science | 4 | 5% |
| Computer Science | 2 | 2% |
| Arts and Humanities | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 23 | 28% |
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 22 March 2013.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Genomics
#6,842
of 10,793 outputs
Outputs of similar age
#125,755
of 197,610 outputs
Outputs of similar age from BMC Genomics
#71
of 127 outputs
Altmetric has tracked 23,881,329 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 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 197,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.