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Comprehensive Phylogenetic Reconstructions of African Swine Fever Virus: Proposal for a New Classification and Molecular Dating of the Virus

Overview of attention for article published in PLOS ONE, July 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
wikipedia
5 Wikipedia pages

Citations

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48 Dimensions

Readers on

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77 Mendeley
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Title
Comprehensive Phylogenetic Reconstructions of African Swine Fever Virus: Proposal for a New Classification and Molecular Dating of the Virus
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0069662
Pubmed ID
Authors

Vincent Michaud, Tantely Randriamparany, Emmanuel Albina

Abstract

African swine fever (ASF) is a highly lethal disease of domestic pigs caused by the only known DNA arbovirus. It was first described in Kenya in 1921 and since then many isolates have been collected worldwide. However, although several phylogenetic studies have been carried out to understand the relationships between the isolates, no molecular dating analyses have been achieved so far. In this paper, comprehensive phylogenetic reconstructions were made using newly generated, publicly available sequences of hundreds of ASFV isolates from the past 70 years. Analyses focused on B646L, CP204L, and E183L genes from 356, 251, and 123 isolates, respectively. Phylogenetic analyses were achieved using maximum likelihood and Bayesian coalescence methods. A new lineage-based nomenclature is proposed to designate 35 different clusters. In addition, dating of ASFV origin was carried out from the molecular data sets. To avoid bias, diversity due to positive selection or recombination events was neutralized. The molecular clock analyses revealed that ASFV strains currently circulating have evolved over 300 years, with a time to the most recent common ancestor (TMRCA) in the early 18(th) century.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Australia 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Master 12 16%
Student > Ph. D. Student 10 13%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Other 12 16%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 31%
Veterinary Science and Veterinary Medicine 12 16%
Biochemistry, Genetics and Molecular Biology 11 14%
Medicine and Dentistry 5 6%
Arts and Humanities 2 3%
Other 5 6%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 07 September 2023.
All research outputs
#2,058,392
of 24,954,788 outputs
Outputs from PLOS ONE
#25,391
of 216,281 outputs
Outputs of similar age
#17,237
of 204,196 outputs
Outputs of similar age from PLOS ONE
#638
of 4,820 outputs
Altmetric has tracked 24,954,788 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 216,281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 88% 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 204,196 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 91% of its contemporaries.
We're also able to compare this research output to 4,820 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.