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Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations

Overview of attention for article published in Ecography, January 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 2,393)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
272 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
120 Mendeley
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Title
Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations
Published in
Ecography, January 2024
DOI 10.1111/ecog.06852
Authors

Mariano Soley‐Guardia, Diego F. Alvarado‐Serrano, Robert P. Anderson

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 272 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Researcher 19 16%
Student > Master 18 15%
Professor 7 6%
Student > Doctoral Student 5 4%
Other 17 14%
Unknown 31 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 33%
Environmental Science 27 23%
Biochemistry, Genetics and Molecular Biology 5 4%
Earth and Planetary Sciences 3 3%
Social Sciences 2 2%
Other 10 8%
Unknown 33 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 162. 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 16 September 2024.
All research outputs
#273,277
of 26,799,422 outputs
Outputs from Ecography
#35
of 2,393 outputs
Outputs of similar age
#4,364
of 394,196 outputs
Outputs of similar age from Ecography
#1
of 31 outputs
Altmetric has tracked 26,799,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 98% 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 394,196 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 98% of its contemporaries.
We're also able to compare this research output to 31 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 96% of its contemporaries.