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Movement-Based Estimation and Visualization of Space Use in 3D for Wildlife Ecology and Conservation

Overview of attention for article published in PLOS ONE, July 2014
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
9 news outlets
blogs
2 blogs
twitter
4 tweeters

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
218 Mendeley
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Title
Movement-Based Estimation and Visualization of Space Use in 3D for Wildlife Ecology and Conservation
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0101205
Pubmed ID
Authors

Jeff A. Tracey, James Sheppard, Jun Zhu, Fuwen Wei, Ronald R. Swaisgood, Robert N. Fisher

Abstract

Advances in digital biotelemetry technologies are enabling the collection of bigger and more accurate data on the movements of free-ranging wildlife in space and time. Although many biotelemetry devices record 3D location data with x, y, and z coordinates from tracked animals, the third z coordinate is typically not integrated into studies of animal spatial use. Disregarding the vertical component may seriously limit understanding of animal habitat use and niche separation. We present novel movement-based kernel density estimators and computer visualization tools for generating and exploring 3D home ranges based on location data. We use case studies of three wildlife species--giant panda, dugong, and California condor--to demonstrate the ecological insights and conservation management benefits provided by 3D home range estimation and visualization for terrestrial, aquatic, and avian wildlife research.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Brazil 3 1%
Portugal 1 <1%
Colombia 1 <1%
Australia 1 <1%
Belize 1 <1%
Austria 1 <1%
Singapore 1 <1%
Canada 1 <1%
Other 2 <1%
Unknown 200 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 21%
Student > Ph. D. Student 42 19%
Student > Master 41 19%
Student > Bachelor 18 8%
Student > Doctoral Student 15 7%
Other 25 11%
Unknown 31 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 107 49%
Environmental Science 45 21%
Earth and Planetary Sciences 9 4%
Social Sciences 5 2%
Biochemistry, Genetics and Molecular Biology 3 1%
Other 11 5%
Unknown 38 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 February 2020.
All research outputs
#355,028
of 20,585,915 outputs
Outputs from PLOS ONE
#5,397
of 177,689 outputs
Outputs of similar age
#3,588
of 201,338 outputs
Outputs of similar age from PLOS ONE
#124
of 2,873 outputs
Altmetric has tracked 20,585,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 177,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 96% 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 201,338 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 98% of its contemporaries.
We're also able to compare this research output to 2,873 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 95% of its contemporaries.