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Caveats for correlative species distribution modeling

Overview of attention for article published in Ecological Informatics, September 2015
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
214 Dimensions

Readers on

mendeley
389 Mendeley
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Title
Caveats for correlative species distribution modeling
Published in
Ecological Informatics, September 2015
DOI 10.1016/j.ecoinf.2015.06.007
Authors

Catherine S. Jarnevich, Thomas J. Stohlgren, Sunil Kumar, Jeffery T. Morisette, Tracy R. Holcombe

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 389 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 1%
United States 3 <1%
United Kingdom 3 <1%
France 1 <1%
Australia 1 <1%
South Africa 1 <1%
Portugal 1 <1%
Germany 1 <1%
Finland 1 <1%
Other 2 <1%
Unknown 370 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 84 22%
Student > Master 64 16%
Student > Ph. D. Student 63 16%
Student > Bachelor 43 11%
Student > Doctoral Student 22 6%
Other 50 13%
Unknown 63 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 151 39%
Environmental Science 103 26%
Earth and Planetary Sciences 20 5%
Biochemistry, Genetics and Molecular Biology 6 2%
Engineering 4 1%
Other 18 5%
Unknown 87 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 21 December 2023.
All research outputs
#2,317,630
of 26,017,215 outputs
Outputs from Ecological Informatics
#72
of 808 outputs
Outputs of similar age
#29,587
of 279,965 outputs
Outputs of similar age from Ecological Informatics
#2
of 7 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 808 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 90% 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 279,965 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 89% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.