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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
424 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 424 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 3 <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 401 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 25%
Student > Master 79 19%
Researcher 72 17%
Student > Bachelor 35 8%
Student > Doctoral Student 28 7%
Other 67 16%
Unknown 38 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 208 49%
Environmental Science 129 30%
Earth and Planetary Sciences 8 2%
Biochemistry, Genetics and Molecular Biology 6 1%
Engineering 2 <1%
Other 6 1%
Unknown 65 15%

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
#1,330,296
of 21,305,531 outputs
Outputs from Ecography
#462
of 2,009 outputs
Outputs of similar age
#19,187
of 250,426 outputs
Outputs of similar age from Ecography
#2
of 32 outputs
Altmetric has tracked 21,305,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done well, scoring higher than 77% 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 250,426 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 32 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.