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fundiversity: a modular R package to compute functional diversity indices

Overview of attention for article published in Ecography, February 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 2,372)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
307 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
149 Mendeley
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Title
fundiversity: a modular R package to compute functional diversity indices
Published in
Ecography, February 2023
DOI 10.1111/ecog.06585
Authors

Matthias Grenié, Hugo Gruson

X Demographics

X Demographics

The data shown below were collected from the profiles of 307 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Researcher 27 18%
Student > Master 14 9%
Student > Doctoral Student 7 5%
Student > Bachelor 7 5%
Other 22 15%
Unknown 45 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 34%
Environmental Science 41 28%
Earth and Planetary Sciences 5 3%
Biochemistry, Genetics and Molecular Biology 1 <1%
Business, Management and Accounting 1 <1%
Other 3 2%
Unknown 48 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 186. 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 November 2023.
All research outputs
#229,813
of 26,561,175 outputs
Outputs from Ecography
#25
of 2,372 outputs
Outputs of similar age
#6,081
of 507,879 outputs
Outputs of similar age from Ecography
#1
of 21 outputs
Altmetric has tracked 26,561,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 98% 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 507,879 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 98% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.