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Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer

Overview of attention for article published in Journal of Applied Ecology, June 2018
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

news
2 news outlets
twitter
11 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer
Published in
Journal of Applied Ecology, June 2018
DOI 10.1111/1365-2664.13178
Authors

Christopher S. Jennelle, Daniel P. Walsh, Michael D. Samuel, Erik E. Osnas, Robert Rolley, Julia Langenberg, Jenny G. Powers, Ryan J. Monello, E. David Demarest, Rolf Gubler, Dennis M. Heisey

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 29%
Student > Master 8 18%
Student > Ph. D. Student 5 11%
Student > Postgraduate 2 4%
Student > Bachelor 2 4%
Other 4 9%
Unknown 11 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 40%
Environmental Science 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Veterinary Science and Veterinary Medicine 3 7%
Medicine and Dentistry 2 4%
Other 4 9%
Unknown 10 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 14 November 2018.
All research outputs
#808,255
of 13,799,368 outputs
Outputs from Journal of Applied Ecology
#668
of 2,560 outputs
Outputs of similar age
#28,643
of 271,157 outputs
Outputs of similar age from Journal of Applied Ecology
#21
of 52 outputs
Altmetric has tracked 13,799,368 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has gotten more attention than average, scoring higher than 73% 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 271,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.