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Mapping behavioral landscapes for animal movement: a finite mixture modeling approach

Overview of attention for article published in Ecological Applications, April 2013
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Mentioned by

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1 tweeter

Citations

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18 Dimensions

Readers on

mendeley
181 Mendeley
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Title
Mapping behavioral landscapes for animal movement: a finite mixture modeling approach
Published in
Ecological Applications, April 2013
DOI 10.1890/12-0687.1
Authors

Jeff A. Tracey, Jun Zhu, Erin Boydston, Lisa Lyren, Robert N. Fisher, Kevin R. Crooks

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 4 2%
Spain 2 1%
Brazil 2 1%
Canada 1 <1%
Germany 1 <1%
Finland 1 <1%
Mexico 1 <1%
China 1 <1%
Other 2 1%
Unknown 162 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 30%
Researcher 53 29%
Student > Master 18 10%
Student > Bachelor 11 6%
Student > Postgraduate 6 3%
Other 20 11%
Unknown 19 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 50%
Environmental Science 45 25%
Engineering 4 2%
Mathematics 4 2%
Social Sciences 4 2%
Other 11 6%
Unknown 22 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 April 2013.
All research outputs
#15,066,127
of 18,812,015 outputs
Outputs from Ecological Applications
#2,811
of 3,002 outputs
Outputs of similar age
#123,532
of 167,950 outputs
Outputs of similar age from Ecological Applications
#24
of 26 outputs
Altmetric has tracked 18,812,015 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 167,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.