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cati: an R package using functional traits to detect and quantify multi‐level community assembly processes

Overview of attention for article published in Ecography, July 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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
35 X users
facebook
4 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
457 Mendeley
Title
cati: an R package using functional traits to detect and quantify multi‐level community assembly processes
Published in
Ecography, July 2015
DOI 10.1111/ecog.01433
Authors

Adrien Taudiere, Cyrille Violle

Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 457 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 7 2%
United States 4 <1%
United Kingdom 2 <1%
France 2 <1%
Austria 1 <1%
Australia 1 <1%
Colombia 1 <1%
Germany 1 <1%
Tanzania, United Republic of 1 <1%
Other 2 <1%
Unknown 435 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 111 24%
Student > Master 84 18%
Researcher 76 17%
Student > Bachelor 37 8%
Student > Doctoral Student 30 7%
Other 69 15%
Unknown 50 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 218 48%
Environmental Science 135 30%
Biochemistry, Genetics and Molecular Biology 9 2%
Earth and Planetary Sciences 8 2%
Engineering 2 <1%
Other 8 2%
Unknown 77 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 23 January 2019.
All research outputs
#1,899,604
of 26,749,913 outputs
Outputs from Ecography
#549
of 2,390 outputs
Outputs of similar age
#22,333
of 276,077 outputs
Outputs of similar age from Ecography
#10
of 29 outputs
Altmetric has tracked 26,749,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done well, scoring higher than 76% 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 276,077 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 91% of its contemporaries.
We're also able to compare this research output to 29 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 65% of its contemporaries.