| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 17% |
| Spain | 2 | 6% |
| France | 2 | 6% |
| Mexico | 2 | 6% |
| United Kingdom | 1 | 3% |
| Ireland | 1 | 3% |
| Norway | 1 | 3% |
| Canada | 1 | 3% |
| Australia | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 49% |
| Members of the public | 17 | 49% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 455 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 | 433 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 111 | 24% |
| Student > Master | 82 | 18% |
| Researcher | 75 | 16% |
| Student > Bachelor | 37 | 8% |
| Student > Doctoral Student | 31 | 7% |
| Other | 69 | 15% |
| Unknown | 50 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 218 | 48% |
| Environmental Science | 135 | 30% |
| Earth and Planetary Sciences | 8 | 2% |
| Biochemistry, Genetics and Molecular Biology | 6 | 1% |
| Engineering | 2 | <1% |
| Other | 8 | 2% |
| Unknown | 78 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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
#1,808,539
of 25,292,378 outputs
Outputs from Ecography
#542
of 2,239 outputs
Outputs of similar age
#22,439
of 270,018 outputs
Outputs of similar age from Ecography
#11
of 29 outputs
Altmetric has tracked 25,292,378 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 2,239 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has done well, scoring higher than 75% 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 270,018 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.