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Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide

Overview of attention for article published in Frontiers in Plant Science, March 2022
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1 X user

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24 Mendeley
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Title
Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
Published in
Frontiers in Plant Science, March 2022
DOI 10.3389/fpls.2022.798035
Pubmed ID
Authors

Liang Ren, Yongmei Huang, Yingping Pan, Xiang Xiang, Jiaxuan Huo, Dehui Meng, Yuanyuan Wang, Cheng Yu

Timeline

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X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Researcher 2 8%
Student > Doctoral Student 2 8%
Student > Bachelor 1 4%
Other 2 8%
Unknown 10 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 42%
Environmental Science 4 17%
Unspecified 1 4%
Unknown 9 38%
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 04 March 2022.
All research outputs
#20,675,093
of 23,269,984 outputs
Outputs from Frontiers in Plant Science
#16,915
of 21,046 outputs
Outputs of similar age
#361,735
of 440,180 outputs
Outputs of similar age from Frontiers in Plant Science
#802
of 1,091 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,046 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 440,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,091 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.