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Towards defining the chloroviruses: a genomic journey through a genus of large DNA viruses

Overview of attention for article published in BMC Genomics, March 2013
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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

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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

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.