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An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore

Overview of attention for article published in Movement Ecology, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
32 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
94 Mendeley
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Title
An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
Published in
Movement Ecology, June 2020
DOI 10.1186/s40462-020-00213-x
Pubmed ID
Authors

Larissa T. Beumer, Jennifer Pohle, Niels M. Schmidt, Marianna Chimienti, Jean-Pierre Desforges, Lars H. Hansen, Roland Langrock, Stine Højlund Pedersen, Mikkel Stelvig, Floris M. van Beest

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 23%
Student > Master 15 16%
Student > Ph. D. Student 13 14%
Student > Bachelor 4 4%
Student > Doctoral Student 3 3%
Other 7 7%
Unknown 30 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 38%
Environmental Science 15 16%
Social Sciences 3 3%
Psychology 2 2%
Medicine and Dentistry 2 2%
Other 2 2%
Unknown 34 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 04 August 2021.
All research outputs
#1,755,983
of 24,733,536 outputs
Outputs from Movement Ecology
#78
of 368 outputs
Outputs of similar age
#47,227
of 402,922 outputs
Outputs of similar age from Movement Ecology
#8
of 15 outputs
Altmetric has tracked 24,733,536 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done well, scoring higher than 79% 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 402,922 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 88% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.