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Hidden evolutionary complexity of Nucleo-Cytoplasmic Large DNA viruses of eukaryotes

Overview of attention for article published in Virology Journal, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
147 Dimensions

Readers on

mendeley
131 Mendeley
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Title
Hidden evolutionary complexity of Nucleo-Cytoplasmic Large DNA viruses of eukaryotes
Published in
Virology Journal, August 2012
DOI 10.1186/1743-422x-9-161
Pubmed ID
Authors

Natalya Yutin, Eugene V Koonin

Abstract

The Nucleo-Cytoplasmic Large DNA Viruses (NCLDV) constitute an apparently monophyletic group that consists of at least 6 families of viruses infecting a broad variety of eukaryotic hosts. A comprehensive genome comparison and maximum-likelihood reconstruction of the NCLDV evolution revealed a set of approximately 50 conserved, core genes that could be mapped to the genome of the common ancestor of this class of eukaryotic 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Portugal 2 2%
France 2 2%
Brazil 2 2%
Unknown 123 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 22%
Student > Ph. D. Student 27 21%
Researcher 19 15%
Student > Bachelor 9 7%
Student > Postgraduate 6 5%
Other 19 15%
Unknown 22 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 39%
Biochemistry, Genetics and Molecular Biology 30 23%
Immunology and Microbiology 6 5%
Computer Science 6 5%
Environmental Science 5 4%
Other 6 5%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 August 2016.
All research outputs
#2,393,228
of 22,673,450 outputs
Outputs from Virology Journal
#207
of 3,029 outputs
Outputs of similar age
#16,396
of 167,805 outputs
Outputs of similar age from Virology Journal
#2
of 92 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has done particularly well, scoring higher than 93% of its peers.
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 167,805 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.