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What do we gain from simplicity versus complexity in species distribution models?

Overview of attention for article published in Ecography, September 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
45 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
239 Dimensions

Readers on

mendeley
842 Mendeley
citeulike
1 CiteULike
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Title
What do we gain from simplicity versus complexity in species distribution models?
Published in
Ecography, September 2014
DOI 10.1111/ecog.00845
Authors

Cory Merow, Mathew J. Smith, Thomas C. Edwards, Antoine Guisan, Sean M. McMahon, Signe Normand, Wilfried Thuiller, Rafael O. Wüest, Niklaus E. Zimmermann, Jane Elith

Twitter Demographics

The data shown below were collected from the profiles of 45 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 842 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 1%
Brazil 11 1%
Switzerland 6 <1%
Germany 4 <1%
Colombia 4 <1%
France 4 <1%
South Africa 3 <1%
United Kingdom 3 <1%
Finland 2 <1%
Other 20 2%
Unknown 774 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 213 25%
Researcher 191 23%
Student > Master 147 17%
Student > Bachelor 68 8%
Student > Doctoral Student 40 5%
Other 109 13%
Unknown 74 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 402 48%
Environmental Science 243 29%
Earth and Planetary Sciences 31 4%
Biochemistry, Genetics and Molecular Biology 14 2%
Engineering 9 1%
Other 31 4%
Unknown 112 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 28 October 2020.
All research outputs
#714,781
of 17,583,573 outputs
Outputs from Ecography
#238
of 1,746 outputs
Outputs of similar age
#9,727
of 214,958 outputs
Outputs of similar age from Ecography
#3
of 24 outputs
Altmetric has tracked 17,583,573 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done well, scoring higher than 86% 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 214,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.