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Diversity and Distribution of White-Tailed Deer mtDNA Lineages in Chronic Wasting Disease (CWD) Outbreak Areas in Southern Wisconsin, USA

Overview of attention for article published in Journal of Toxicology and Environmental Health, Part A, November 2011
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Title
Diversity and Distribution of White-Tailed Deer mtDNA Lineages in Chronic Wasting Disease (CWD) Outbreak Areas in Southern Wisconsin, USA
Published in
Journal of Toxicology and Environmental Health, Part A, November 2011
DOI 10.1080/15287394.2011.618980
Pubmed ID
Authors

Kip G. Rogers, Stacie J. Robinson, Michael D. Samuel, Daniel A. Grear

Abstract

Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy affecting North American cervids. Because it is uniformly fatal, the disease is a major concern in the management of white-tailed deer populations. Management programs to control CWD require improved knowledge of deer interaction, movement, and population connectivity that could influence disease transmission and spread. Genetic methods were employed to evaluate connectivity among populations in the CWD management zone of southern Wisconsin. A 576-base-pair region of the mitochondrial DNA of 359 white-tailed deer from 12 sample populations was analyzed. Fifty-eight variable sites were detected within the sequence, defining 43 haplotypes. While most sample populations displayed similar levels of haplotype diversity, individual haplotypes were clustered on the landscape. Spatial clusters of different haplotypes were apparent in distinct ecoregions surrounding CWD outbreak areas. The spatial distribution of mtDNA haplotypes suggests that clustering of the deer matrilineal groups and population connectivity are associated with broad-scale geographic landscape features. These landscape characteristics may also influence the contact rates between groups and therefore the potential spread of CWD; this may be especially true of local disease spread between female social groups. Our results suggest that optimal CWD management needs to be tailored to fit gender-specific dispersal behaviors and regional differences in deer population connectivity. This information will help wildlife managers design surveillance and monitoring efforts based on population interactions and potential deer movement among CWD-affected and unaffected areas.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 2%
France 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 9 20%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 2 5%
Other 6 14%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 45%
Medicine and Dentistry 5 11%
Environmental Science 3 7%
Immunology and Microbiology 2 5%
Unspecified 1 2%
Other 4 9%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 November 2011.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Journal of Toxicology and Environmental Health, Part A
#1,978
of 2,326 outputs
Outputs of similar age
#105,531
of 152,913 outputs
Outputs of similar age from Journal of Toxicology and Environmental Health, Part A
#19
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,326 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 152,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.