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The Evolutionary and Epidemiological Dynamics of the Paramyxoviridae

Overview of attention for article published in Journal of Molecular Evolution, January 2008
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
2 X users
wikipedia
16 Wikipedia pages

Citations

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91 Dimensions

Readers on

mendeley
135 Mendeley
connotea
1 Connotea
Title
The Evolutionary and Epidemiological Dynamics of the Paramyxoviridae
Published in
Journal of Molecular Evolution, January 2008
DOI 10.1007/s00239-007-9040-x
Pubmed ID
Authors

Laura W. Pomeroy, Ottar N. Bjørnstad, Edward C. Holmes

Abstract

Paramyxoviruses are responsible for considerable disease burden in human and wildlife populations: measles and mumps continue to affect the health of children worldwide, while canine distemper virus causes serious morbidity and mortality in a wide range of mammalian species. Although these viruses have been studied extensively at both the epidemiological and the phylogenetic scales, little has been done to integrate these two types of data. Using a Bayesian coalescent approach, we infer the evolutionary and epidemiological dynamics of measles, mumps and canine distemper viruses. Our analysis yielded data on viral substitution rates, the time to common ancestry, and elements of their demographic history. Estimates of rates of evolutionary change were similar to those observed in other RNA viruses, ranging from 6.585 to 11.350 x 10(-4 )nucleotide substitutions per site, per year. Strikingly, the mean Time to the Most Recent Common Ancestor (TMRCA) was both similar and very recent among the viruses studied, ranging from only 58 to 91 years (1908 to 1943). Worldwide, the paramyxoviruses studied here have maintained a relatively constant level of genetic diversity. However, detailed heterchronous samples illustrate more complex dynamics in some epidemic populations, and the relatively low levels of genetic diversity (population size) in all three viruses is likely to reflect the population bottlenecks that follow recurrent outbreaks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 3 2%
Finland 1 <1%
Afghanistan 1 <1%
Thailand 1 <1%
Unknown 125 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 24%
Student > Ph. D. Student 19 14%
Student > Bachelor 17 13%
Student > Master 16 12%
Professor 9 7%
Other 24 18%
Unknown 17 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 38%
Medicine and Dentistry 13 10%
Immunology and Microbiology 12 9%
Biochemistry, Genetics and Molecular Biology 12 9%
Veterinary Science and Veterinary Medicine 6 4%
Other 14 10%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 27 February 2023.
All research outputs
#2,300,373
of 25,349,102 outputs
Outputs from Journal of Molecular Evolution
#78
of 1,498 outputs
Outputs of similar age
#8,543
of 169,847 outputs
Outputs of similar age from Journal of Molecular Evolution
#1
of 6 outputs
Altmetric has tracked 25,349,102 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 94% 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 169,847 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 94% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them