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An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics

Overview of attention for article published in Ecology, January 2017
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
7 news outlets
twitter
3 tweeters

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
171 Mendeley
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Title
An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics
Published in
Ecology, January 2017
DOI 10.1002/ecy.1643
Pubmed ID
Authors

Perry J. Williams, Mevin B. Hooten, Jamie N. Womble, George G. Esslinger, Michael R. Bower, Trevor J. Hefley

Abstract

Ecological invasions and colonizations occur dynamically through space and time. Estimating the distribution and abundance of colonizing species is critical for efficient management or conservation. We describe a statistical framework for simultaneously estimating spatiotemporal occupancy and abundance dynamics of a colonizing species. Our method accounts for several issues that are common when modeling spatiotemporal ecological data including multiple levels of detection probability, multiple data sources, and computational limitations that occur when making fine-scale inference over a large spatiotemporal domain. We apply the model to estimate the colonization dynamics of sea otters (Enhydra lutris) in Glacier Bay, in southeastern Alaska.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
South Africa 1 <1%
India 1 <1%
Iceland 1 <1%
Spain 1 <1%
Unknown 166 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 31%
Student > Ph. D. Student 35 20%
Student > Master 21 12%
Student > Bachelor 11 6%
Student > Doctoral Student 7 4%
Other 23 13%
Unknown 21 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 48%
Environmental Science 42 25%
Mathematics 4 2%
Earth and Planetary Sciences 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 8 5%
Unknown 30 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 29 August 2017.
All research outputs
#485,619
of 18,812,015 outputs
Outputs from Ecology
#187
of 6,319 outputs
Outputs of similar age
#13,615
of 303,694 outputs
Outputs of similar age from Ecology
#4
of 109 outputs
Altmetric has tracked 18,812,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 95% 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 303,694 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 95% of its contemporaries.
We're also able to compare this research output to 109 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 97% of its contemporaries.