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A Model to Inform Management Actions as a Response to Chytridiomycosis-Associated Decline

Overview of attention for article published in EcoHealth, April 2016
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Citations

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22 Dimensions

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56 Mendeley
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Title
A Model to Inform Management Actions as a Response to Chytridiomycosis-Associated Decline
Published in
EcoHealth, April 2016
DOI 10.1007/s10393-016-1117-9
Pubmed ID
Authors

Sarah J. Converse, Larissa L. Bailey, Brittany A. Mosher, W. Chris Funk, Brian D. Gerber, Erin Muths

Abstract

Decision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (Anaxyrus boreas boreas), a species with declines linked to chytridiomycosis caused by Batrachochytrium dendrobatidis (Bd). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by Bd, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of Bd. Our modeling exercise suggested that while selection for resistance to pathogenic infection by Bd could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of Bd may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 10 18%
Researcher 8 14%
Student > Bachelor 4 7%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 52%
Environmental Science 8 14%
Biochemistry, Genetics and Molecular Biology 4 7%
Veterinary Science and Veterinary Medicine 1 2%
Nursing and Health Professions 1 2%
Other 3 5%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 May 2020.
All research outputs
#12,890,894
of 22,860,626 outputs
Outputs from EcoHealth
#458
of 710 outputs
Outputs of similar age
#137,234
of 301,014 outputs
Outputs of similar age from EcoHealth
#9
of 22 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 34th percentile – i.e., 34% 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 301,014 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 22 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.