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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
38 tweeters
facebook
4 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
306 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

Twitter Demographics

The data shown below were collected from the profiles of 38 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 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 7 2%
United States 5 2%
United Kingdom 3 <1%
France 2 <1%
Canada 1 <1%
Austria 1 <1%
Belgium 1 <1%
Spain 1 <1%
Portugal 1 <1%
Other 4 1%
Unknown 280 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 87 28%
Student > Master 56 18%
Researcher 49 16%
Student > Bachelor 30 10%
Unspecified 21 7%
Other 63 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 162 53%
Environmental Science 99 32%
Unspecified 34 11%
Earth and Planetary Sciences 6 2%
Engineering 2 <1%
Other 3 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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
#662,100
of 12,840,843 outputs
Outputs from Ecography
#267
of 1,321 outputs
Outputs of similar age
#15,953
of 233,223 outputs
Outputs of similar age from Ecography
#4
of 33 outputs
Altmetric has tracked 12,840,843 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done well, scoring higher than 79% 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 233,223 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 93% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.