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An integrated data model to estimate spatio-temporal 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 (96th percentile)

Mentioned by

news
7 news outlets
twitter
4 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

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

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

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 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Spain 1 <1%
Iceland 1 <1%
Australia 1 <1%
South Africa 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 28%
Student > Ph. D. Student 28 25%
Student > Master 16 15%
Unspecified 6 5%
Student > Postgraduate 5 5%
Other 24 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 55%
Environmental Science 30 27%
Unspecified 11 10%
Earth and Planetary Sciences 3 3%
Mathematics 2 2%
Other 3 3%

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
#226,378
of 11,674,646 outputs
Outputs from Ecology
#82
of 4,582 outputs
Outputs of similar age
#11,146
of 253,664 outputs
Outputs of similar age from Ecology
#3
of 96 outputs
Altmetric has tracked 11,674,646 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 4,582 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 253,664 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 96 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 96% of its contemporaries.