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Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate

Overview of attention for article published in Movement Ecology, June 2019
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Mentioned by

video
1 YouTube creator

Readers on

mendeley
78 Mendeley
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Title
Using seasonal landscape models to predict space use and migratory patterns of an arctic ungulate
Published in
Movement Ecology, June 2019
DOI 10.1186/s40462-019-0162-8
Pubmed ID
Authors

A. P. Baltensperger, K. Joly

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Master 12 15%
Student > Doctoral Student 6 8%
Student > Ph. D. Student 6 8%
Student > Postgraduate 4 5%
Other 8 10%
Unknown 28 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 22%
Environmental Science 13 17%
Social Sciences 5 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Engineering 2 3%
Other 7 9%
Unknown 32 41%
Attention Score in Context

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 20 October 2019.
All research outputs
#20,583,973
of 23,168,000 outputs
Outputs from Movement Ecology
#308
of 321 outputs
Outputs of similar age
#300,432
of 352,718 outputs
Outputs of similar age from Movement Ecology
#10
of 10 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one is in the 1st percentile – i.e., 1% 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 352,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.