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Polar Bears from Space: Assessing Satellite Imagery as a Tool to Track Arctic Wildlife

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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
14 news outlets
blogs
7 blogs
twitter
41 X users
facebook
1 Facebook page
googleplus
5 Google+ users
q&a
1 Q&A thread

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
151 Mendeley
citeulike
2 CiteULike
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Title
Polar Bears from Space: Assessing Satellite Imagery as a Tool to Track Arctic Wildlife
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0101513
Pubmed ID
Authors

Seth Stapleton, Michelle LaRue, Nicolas Lecomte, Stephen Atkinson, David Garshelis, Claire Porter, Todd Atwood

Abstract

Development of efficient techniques for monitoring wildlife is a priority in the Arctic, where the impacts of climate change are acute and remoteness and logistical constraints hinder access. We evaluated high resolution satellite imagery as a tool to track the distribution and abundance of polar bears. We examined satellite images of a small island in Foxe Basin, Canada, occupied by a high density of bears during the summer ice-free season. Bears were distinguished from other light-colored spots by comparing images collected on different dates. A sample of ground-truthed points demonstrated that we accurately classified bears. Independent observers reviewed images and a population estimate was obtained using mark-recapture models. This estimate (N: 94; 95% Confidence Interval: 92-105) was remarkably similar to an abundance estimate derived from a line transect aerial survey conducted a few days earlier (N: 102; 95% CI: 69-152). Our findings suggest that satellite imagery is a promising tool for monitoring polar bears on land, with implications for use with other Arctic wildlife. Large scale applications may require development of automated detection processes to expedite review and analysis. Future research should assess the utility of multi-spectral imagery and examine sites with different environmental characteristics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
United Kingdom 1 <1%
France 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 144 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 17%
Student > Master 25 17%
Student > Ph. D. Student 23 15%
Student > Bachelor 16 11%
Other 6 4%
Other 16 11%
Unknown 39 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 32%
Environmental Science 32 21%
Biochemistry, Genetics and Molecular Biology 7 5%
Computer Science 7 5%
Earth and Planetary Sciences 4 3%
Other 14 9%
Unknown 38 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 193. 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 11 August 2019.
All research outputs
#192,664
of 24,383,935 outputs
Outputs from PLOS ONE
#2,863
of 210,258 outputs
Outputs of similar age
#1,521
of 230,596 outputs
Outputs of similar age from PLOS ONE
#60
of 4,611 outputs
Altmetric has tracked 24,383,935 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 210,258 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 98% 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 230,596 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 99% of its contemporaries.
We're also able to compare this research output to 4,611 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 98% of its contemporaries.