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Towards a unified descriptive theory for spatial ecology: predicting biodiversity patterns across spatial scales

Overview of attention for article published in Methods in Ecology and Evolution, December 2014
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
18 X users
facebook
2 Facebook pages

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
305 Mendeley
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Title
Towards a unified descriptive theory for spatial ecology: predicting biodiversity patterns across spatial scales
Published in
Methods in Ecology and Evolution, December 2014
DOI 10.1111/2041-210x.12319
Authors

Sandro Azaele, Amos Maritan, Stephen J. Cornell, Samir Suweis, Jayanth R. Banavar, Doreen Gabriel, William E. Kunin

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Italy 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
France 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Colombia 1 <1%
Other 6 2%
Unknown 283 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 25%
Researcher 66 22%
Student > Master 46 15%
Student > Bachelor 16 5%
Student > Doctoral Student 14 5%
Other 50 16%
Unknown 36 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 47%
Environmental Science 83 27%
Biochemistry, Genetics and Molecular Biology 7 2%
Physics and Astronomy 6 2%
Economics, Econometrics and Finance 2 <1%
Other 9 3%
Unknown 55 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 January 2017.
All research outputs
#2,116,203
of 26,017,215 outputs
Outputs from Methods in Ecology and Evolution
#1,000
of 2,469 outputs
Outputs of similar age
#28,117
of 366,083 outputs
Outputs of similar age from Methods in Ecology and Evolution
#15
of 50 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 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has gotten more attention than average, scoring higher than 59% 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 366,083 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 92% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.