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Representing plant diversity in land models: An evolutionary approach to make “Functional Types” more functional

Overview of attention for article published in Global Change Biology, January 2022
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
16 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Representing plant diversity in land models: An evolutionary approach to make “Functional Types” more functional
Published in
Global Change Biology, January 2022
DOI 10.1111/gcb.16040
Pubmed ID
Authors

Leander D. L. Anderegg, Daniel M. Griffith, Jeannine Cavender‐Bares, William J. Riley, Joseph A. Berry, Todd E. Dawson, Christopher J. Still

Twitter Demographics

The data shown below were collected from the profiles of 16 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 31%
Student > Ph. D. Student 9 21%
Student > Master 5 12%
Student > Postgraduate 2 5%
Student > Doctoral Student 1 2%
Other 5 12%
Unknown 7 17%
Readers by discipline Count As %
Environmental Science 13 31%
Agricultural and Biological Sciences 12 29%
Earth and Planetary Sciences 4 10%
Biochemistry, Genetics and Molecular Biology 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 10 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 16 March 2022.
All research outputs
#1,897,658
of 22,002,998 outputs
Outputs from Global Change Biology
#2,391
of 5,514 outputs
Outputs of similar age
#56,735
of 485,942 outputs
Outputs of similar age from Global Change Biology
#98
of 175 outputs
Altmetric has tracked 22,002,998 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.8. This one has gotten more attention than average, scoring higher than 56% 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 485,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.