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A Deep Learning-Based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis

Overview of attention for article published in Frontiers in Plant Science, September 2021
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1 X user

Citations

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19 Dimensions

Readers on

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40 Mendeley
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Title
A Deep Learning-Based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis
Published in
Frontiers in Plant Science, September 2021
DOI 10.3389/fpls.2021.716784
Pubmed ID
Authors

Chuancheng Zhu, Yusong Hu, Hude Mao, Shumin Li, Fangfang Li, Congyuan Zhao, Lin Luo, Weizhen Liu, Xiaohui Yuan

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Student > Ph. D. Student 4 10%
Lecturer 2 5%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Other 6 15%
Unknown 19 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Physics and Astronomy 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Business, Management and Accounting 1 3%
Other 2 5%
Unknown 20 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 03 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Plant Science
#17,015
of 21,142 outputs
Outputs of similar age
#356,120
of 429,465 outputs
Outputs of similar age from Frontiers in Plant Science
#655
of 870 outputs
Altmetric has tracked 23,310,485 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 21,142 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 429,465 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 870 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.