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Emergence of canine parvovirus subtype 2b (CPV-2b) infections in Australian dogs

Overview of attention for article published in Infection, Genetics & Evolution, December 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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4 news outlets
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1 Facebook page

Citations

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73 Mendeley
Title
Emergence of canine parvovirus subtype 2b (CPV-2b) infections in Australian dogs
Published in
Infection, Genetics & Evolution, December 2017
DOI 10.1016/j.meegid.2017.12.013
Pubmed ID
Authors

Nicholas J. Clark, Jennifer M. Seddon, Myat Kyaw-Tanner, John Al-Alawneh, Gavin Harper, Phillip McDonagh, Joanne Meers

Abstract

Tracing the temporal dynamics of pathogens is crucial for developing strategies to detect and limit disease emergence. Canine parvovirus (CPV-2) is an enteric virus causing morbidity and mortality in dogs around the globe. Previous work in Australia reported that the majority of cases were associated with the CPV-2a subtype, an unexpected finding since CPV-2a was rapidly replaced by another subtype (CPV-2b) in many countries. Using a nine-year dataset of CPV-2 infections from 396 dogs sampled across Australia, we assessed the population dynamics and molecular epidemiology of circulating CPV-2 subtypes. Bayesian phylogenetic Skygrid models and logistic regressions were used to trace the temporal dynamics of CPV-2 infections in dogs sampled from 2007 to 2016. Phylogenetic models indicated that CPV-2a likely emerged in Australia between 1973 and 1988, while CPV-2b likely emerged between 1985 and 1998. Sequences from both subtypes were found in dogs across continental Australia and Tasmania, with no apparent effect of climate variability on subtype occurrence. Both variant subtypes exhibited a classical disease emergence pattern of relatively high rates of evolution during early emergence followed by subsequent decreases in evolutionary rates over time. However, the CPV-2b subtype maintained higher mutation rates than CPV-2a and continued to expand, resulting in an increase in the probability that dogs will carry this subtype over time. Ongoing monitoring programs that provide molecular epidemiology surveillance will be necessary to detect emergence of new variants and make informed recommendations to develop reliable detection and vaccine methods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 21%
Student > Master 9 12%
Researcher 6 8%
Student > Ph. D. Student 4 5%
Lecturer 3 4%
Other 9 12%
Unknown 27 37%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 19 26%
Agricultural and Biological Sciences 5 7%
Medicine and Dentistry 4 5%
Environmental Science 3 4%
Business, Management and Accounting 2 3%
Other 10 14%
Unknown 30 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 17 September 2020.
All research outputs
#1,213,570
of 25,382,440 outputs
Outputs from Infection, Genetics & Evolution
#60
of 2,979 outputs
Outputs of similar age
#27,207
of 444,112 outputs
Outputs of similar age from Infection, Genetics & Evolution
#1
of 54 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,979 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 97% 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 444,112 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 93% of its contemporaries.
We're also able to compare this research output to 54 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 98% of its contemporaries.