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The morphology and nutrient content drive the leaf carbon capture and economic trait variations in subtropical bamboo forest

Overview of attention for article published in Frontiers in Plant Science, April 2023
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Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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9 Mendeley
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Title
The morphology and nutrient content drive the leaf carbon capture and economic trait variations in subtropical bamboo forest
Published in
Frontiers in Plant Science, April 2023
DOI 10.3389/fpls.2023.1137487
Pubmed ID
Authors

Jun Sun, Jinlong Li, Kohei Koyama, Dandan Hu, Quanlin Zhong, Dongliang Cheng

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Lecturer 1 11%
Student > Doctoral Student 1 11%
Unknown 6 67%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Unknown 6 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 April 2023.
All research outputs
#18,995,465
of 23,549,388 outputs
Outputs from Frontiers in Plant Science
#14,772
of 21,575 outputs
Outputs of similar age
#175,802
of 256,072 outputs
Outputs of similar age from Frontiers in Plant Science
#511
of 717 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,575 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 256,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 717 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.