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Scale Dependent Behavioral Responses to Human Development by a Large Predator, the Puma

Overview of attention for article published in PLOS ONE, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
10 X users
facebook
4 Facebook pages

Citations

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149 Dimensions

Readers on

mendeley
366 Mendeley
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Title
Scale Dependent Behavioral Responses to Human Development by a Large Predator, the Puma
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0060590
Pubmed ID
Authors

Christopher C. Wilmers, Yiwei Wang, Barry Nickel, Paul Houghtaling, Yasaman Shakeri, Maximilian L. Allen, Joe Kermish-Wells, Veronica Yovovich, Terrie Williams

Abstract

The spatial scale at which organisms respond to human activity can affect both ecological function and conservation planning. Yet little is known regarding the spatial scale at which distinct behaviors related to reproduction and survival are impacted by human interference. Here we provide a novel approach to estimating the spatial scale at which a top predator, the puma (Puma concolor), responds to human development when it is moving, feeding, communicating, and denning. We find that reproductive behaviors (communication and denning) require at least a 4× larger buffer from human development than non-reproductive behaviors (movement and feeding). In addition, pumas give a wider berth to types of human development that provide a more consistent source of human interference (neighborhoods) than they do to those in which human presence is more intermittent (arterial roads with speeds >35 mph). Neighborhoods were a deterrent to pumas regardless of behavior, while arterial roads only deterred pumas when they were communicating and denning. Female pumas were less deterred by human development than males, but they showed larger variation in their responses overall. Our behaviorally explicit approach to modeling animal response to human activity can be used as a novel tool to assess habitat quality, identify wildlife corridors, and mitigate human-wildlife conflict.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
South Africa 2 <1%
United Kingdom 2 <1%
India 2 <1%
France 1 <1%
Australia 1 <1%
Mexico 1 <1%
Chile 1 <1%
Unknown 353 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 20%
Student > Ph. D. Student 69 19%
Student > Master 58 16%
Student > Bachelor 42 11%
Student > Doctoral Student 14 4%
Other 46 13%
Unknown 65 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 43%
Environmental Science 95 26%
Social Sciences 7 2%
Earth and Planetary Sciences 5 1%
Biochemistry, Genetics and Molecular Biology 4 1%
Other 19 5%
Unknown 80 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 December 2018.
All research outputs
#1,069,479
of 24,657,405 outputs
Outputs from PLOS ONE
#13,918
of 213,242 outputs
Outputs of similar age
#7,907
of 201,613 outputs
Outputs of similar age from PLOS ONE
#291
of 5,147 outputs
Altmetric has tracked 24,657,405 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 213,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 93% 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 201,613 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 96% of its contemporaries.
We're also able to compare this research output to 5,147 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 94% of its contemporaries.