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Predictive spatial niche and biodiversity hotspot models for small mammal communities in Alaska: applying machine-learning to conservation planning

Overview of attention for article published in Landscape Ecology, January 2015
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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35 Dimensions

Readers on

mendeley
134 Mendeley
Title
Predictive spatial niche and biodiversity hotspot models for small mammal communities in Alaska: applying machine-learning to conservation planning
Published in
Landscape Ecology, January 2015
DOI 10.1007/s10980-014-0150-8
Authors

Andrew P. Baltensperger, Falk Huettmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nepal 1 <1%
France 1 <1%
Italy 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Greece 1 <1%
Unknown 127 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 25%
Researcher 27 20%
Student > Ph. D. Student 22 16%
Student > Bachelor 11 8%
Student > Postgraduate 6 4%
Other 13 10%
Unknown 22 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 38%
Environmental Science 35 26%
Computer Science 6 4%
Earth and Planetary Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 6 4%
Unknown 28 21%
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 24 January 2015.
All research outputs
#17,737,508
of 22,778,347 outputs
Outputs from Landscape Ecology
#1,290
of 1,514 outputs
Outputs of similar age
#260,224
of 379,767 outputs
Outputs of similar age from Landscape Ecology
#19
of 33 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,514 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 13th percentile – i.e., 13% 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 379,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.