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Performance metrics and variance partitioning reveal sources of uncertainty in species distribution models

Overview of attention for article published in Ecological Modelling, August 2015
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Mentioned by

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1 Facebook page

Citations

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34 Dimensions

Readers on

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156 Mendeley
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Title
Performance metrics and variance partitioning reveal sources of uncertainty in species distribution models
Published in
Ecological Modelling, August 2015
DOI 10.1016/j.ecolmodel.2015.03.017
Authors

James I. Watling, Laura A. Brandt, David N. Bucklin, Ikuko Fujisaki, Frank J. Mazzotti, Stephanie S. Romañach, Carolina Speroterra

Mendeley readers

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Czechia 1 <1%
Brazil 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Denmark 1 <1%
Colombia 1 <1%
Unknown 146 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 24%
Researcher 38 24%
Student > Master 21 13%
Student > Doctoral Student 12 8%
Student > Postgraduate 7 4%
Other 25 16%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 41%
Environmental Science 44 28%
Earth and Planetary Sciences 7 4%
Computer Science 4 3%
Mathematics 3 2%
Other 12 8%
Unknown 22 14%

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 04 January 2018.
All research outputs
#10,971,890
of 12,381,422 outputs
Outputs from Ecological Modelling
#1,191
of 1,286 outputs
Outputs of similar age
#278,066
of 343,084 outputs
Outputs of similar age from Ecological Modelling
#26
of 30 outputs
Altmetric has tracked 12,381,422 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 1,286 research outputs from this source. They receive a mean Attention Score of 3.7. 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 343,084 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 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.