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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 (90th percentile)

Mentioned by

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

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
354 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 354 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%
Australia 1 <1%
Austria 1 <1%
Tanzania, United Republic of 1 <1%
Germany 1 <1%
Canada 1 <1%
Other 3 <1%
Unknown 330 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 98 28%
Student > Master 67 19%
Researcher 57 16%
Student > Bachelor 31 9%
Student > Doctoral Student 21 6%
Other 52 15%
Unknown 28 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 173 49%
Environmental Science 119 34%
Earth and Planetary Sciences 7 2%
Materials Science 2 <1%
Unspecified 2 <1%
Other 6 2%
Unknown 45 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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
#822,074
of 14,579,947 outputs
Outputs from Ecography
#335
of 1,540 outputs
Outputs of similar age
#16,692
of 234,317 outputs
Outputs of similar age from Ecography
#3
of 33 outputs
Altmetric has tracked 14,579,947 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 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done well, scoring higher than 78% 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 234,317 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 33 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 90% of its contemporaries.