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Evidence that ebolaviruses and cuevaviruses have been diverging from marburgviruses since the Miocene

Overview of attention for article published in PeerJ, September 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
23 news outlets
blogs
6 blogs
twitter
59 X users
facebook
3 Facebook pages
wikipedia
5 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
1 CiteULike
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Title
Evidence that ebolaviruses and cuevaviruses have been diverging from marburgviruses since the Miocene
Published in
PeerJ, September 2014
DOI 10.7717/peerj.556
Pubmed ID
Authors

Derek J. Taylor, Matthew J. Ballinger, Jack J. Zhan, Laura E. Hanzly, Jeremy A. Bruenn

Abstract

An understanding of the timescale of evolution is critical for comparative virology but remains elusive for many RNA viruses. Age estimates based on mutation rates can severely underestimate divergences for ancient viral genes that are evolving under strong purifying selection. Paleoviral dating, however, can provide minimum age estimates for ancient divergence, but few orthologous paleoviruses are known within clades of extant viruses. For example, ebolaviruses and marburgviruses are well-studied mammalian pathogens, but their comparative biology is difficult to interpret because the existing estimates of divergence are controversial. Here we provide evidence that paleoviral elements of two genes (ebolavirus-like VP35 and NP) in cricetid rodent genomes originated after the divergence of ebolaviruses and cuevaviruses from marburgviruses. We provide evidence of orthology by identifying common paleoviral insertion sites among the rodent genomes. Our findings indicate that ebolaviruses and cuevaviruses have been diverging from marburgviruses since the early Miocene.

X Demographics

X Demographics

The data shown below were collected from the profiles of 59 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Brazil 1 1%
Germany 1 1%
Sweden 1 1%
United States 1 1%
Unknown 69 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 12 16%
Student > Bachelor 11 14%
Student > Master 8 11%
Professor 7 9%
Other 18 24%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 32%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 7 9%
Nursing and Health Professions 6 8%
Immunology and Microbiology 6 8%
Other 15 20%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 253. 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 21 July 2023.
All research outputs
#148,239
of 26,017,215 outputs
Outputs from PeerJ
#175
of 15,303 outputs
Outputs of similar age
#1,187
of 252,437 outputs
Outputs of similar age from PeerJ
#3
of 135 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done particularly well, scoring higher than 98% 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 252,437 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 99% of its contemporaries.
We're also able to compare this research output to 135 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.