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Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data

Overview of attention for article published in Frontiers in Plant Science, February 2020
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1 X user

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30 Mendeley
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Title
Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
Published in
Frontiers in Plant Science, February 2020
DOI 10.3389/fpls.2019.01802
Pubmed ID
Authors

Jiaoyang He, Xiangbin Zhang, Wanting Guo, Yuanyuan Pan, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao, Yongchao Tian

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Lecturer 1 3%
Other 3 10%
Unknown 14 47%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 40%
Arts and Humanities 1 3%
Unspecified 1 3%
Social Sciences 1 3%
Unknown 15 50%
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 16 March 2020.
All research outputs
#20,609,577
of 23,198,445 outputs
Outputs from Frontiers in Plant Science
#16,804
of 20,942 outputs
Outputs of similar age
#382,241
of 456,730 outputs
Outputs of similar age from Frontiers in Plant Science
#414
of 473 outputs
Altmetric has tracked 23,198,445 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 20,942 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 456,730 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 473 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.