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Aboveground carbon storage is driven by functional trait composition and stand structural attributes rather than biodiversity in temperate mixed forests recovering from disturbances

Overview of attention for article published in Annals of Forest Science , June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
121 Mendeley
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Title
Aboveground carbon storage is driven by functional trait composition and stand structural attributes rather than biodiversity in temperate mixed forests recovering from disturbances
Published in
Annals of Forest Science , June 2018
DOI 10.1007/s13595-018-0745-3
Authors

Zuoqiang Yuan, Shaopeng Wang, Arshad Ali, Antonio Gazol, Paloma Ruiz-Benito, Xugao Wang, Fei Lin, Ji Ye, Zhanqing Hao, Michel Loreau

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Researcher 18 15%
Student > Bachelor 14 12%
Student > Master 10 8%
Student > Doctoral Student 6 5%
Other 14 12%
Unknown 34 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 28%
Environmental Science 32 26%
Earth and Planetary Sciences 5 4%
Business, Management and Accounting 2 2%
Medicine and Dentistry 2 2%
Other 6 5%
Unknown 40 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 July 2018.
All research outputs
#3,780,684
of 25,385,509 outputs
Outputs from Annals of Forest Science
#247
of 942 outputs
Outputs of similar age
#71,961
of 342,755 outputs
Outputs of similar age from Annals of Forest Science
#14
of 19 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 67% 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 342,755 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 78% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.