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Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance

Overview of attention for article published in Frontiers in Plant Science, December 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
7 Mendeley
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Title
Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance
Published in
Frontiers in Plant Science, December 2022
DOI 10.3389/fpls.2022.1048442
Pubmed ID
Authors

Sizhou Chen, Jiazhi Shen, Kai Fan, Wenjun Qian, Honglian Gu, Yuchen Li, Jie Zhang, Xiao Han, Yu Wang, Zhaotang Ding

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 14%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 5 71%
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 01 December 2022.
All research outputs
#15,867,545
of 23,577,761 outputs
Outputs from Frontiers in Plant Science
#11,540
of 21,632 outputs
Outputs of similar age
#243,815
of 452,961 outputs
Outputs of similar age from Frontiers in Plant Science
#667
of 1,388 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,632 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 40th percentile – i.e., 40% 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 452,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,388 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.