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Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges

Overview of attention for article published in AStA Advances in Statistical Analysis, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 107)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

policy
1 policy source
twitter
30 X users

Citations

dimensions_citation
147 Dimensions

Readers on

mendeley
392 Mendeley
citeulike
1 CiteULike
Title
Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges
Published in
AStA Advances in Statistical Analysis, July 2017
DOI 10.1007/s10182-017-0302-7
Authors

Toby A. Patterson, Alison Parton, Roland Langrock, Paul G. Blackwell, Len Thomas, Ruth King

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 392 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 391 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 95 24%
Student > Master 76 19%
Researcher 72 18%
Student > Doctoral Student 20 5%
Student > Bachelor 19 5%
Other 44 11%
Unknown 66 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 165 42%
Environmental Science 75 19%
Mathematics 17 4%
Earth and Planetary Sciences 10 3%
Computer Science 8 2%
Other 40 10%
Unknown 77 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 30 June 2022.
All research outputs
#1,787,948
of 25,623,883 outputs
Outputs from AStA Advances in Statistical Analysis
#2
of 107 outputs
Outputs of similar age
#33,727
of 326,742 outputs
Outputs of similar age from AStA Advances in Statistical Analysis
#2
of 4 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 99% 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 326,742 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.