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Individual Movement - Sequence Analysis Method (IM-SAM): characterizing spatio-temporal patterns of animal habitat use across landscapes

Overview of attention for article published in International Journal of Geographical Information Science, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Readers on

mendeley
7 Mendeley
Title
Individual Movement - Sequence Analysis Method (IM-SAM): characterizing spatio-temporal patterns of animal habitat use across landscapes
Published in
International Journal of Geographical Information Science, April 2019
DOI 10.1080/13658816.2019.1594822
Authors

Johannes De Groeve, Francesca Cagnacci, Nathan Ranc, Nadège C. Bonnot, Benedikt Gehr, Marco Heurich, A.J. Mark Hewison, Max Kroeschel, John D.C. Linnell, Nicolas Morellet, Atle Mysterud, Robin Sandfort, Nico Van De Weghe

Twitter Demographics

The data shown below were collected from the profiles of 6 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Ph. D. Student 2 29%
Researcher 1 14%
Student > Doctoral Student 1 14%
Unspecified 1 14%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Earth and Planetary Sciences 2 29%
Environmental Science 1 14%
Unspecified 1 14%
Social Sciences 1 14%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 April 2019.
All research outputs
#3,404,581
of 13,183,063 outputs
Outputs from International Journal of Geographical Information Science
#99
of 432 outputs
Outputs of similar age
#88,517
of 253,279 outputs
Outputs of similar age from International Journal of Geographical Information Science
#8
of 13 outputs
Altmetric has tracked 13,183,063 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 432 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 75% 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 253,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.