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Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices

Overview of attention for article published in Frontiers in Plant Science, September 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices
Published in
Frontiers in Plant Science, September 2020
DOI 10.3389/fpls.2020.558126
Pubmed ID
Authors

Zhiwen Mi, Xudong Zhang, Jinya Su, Dejun Han, Baofeng Su

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 10%
Student > Ph. D. Student 6 9%
Student > Master 4 6%
Student > Bachelor 3 4%
Professor 2 3%
Other 11 16%
Unknown 34 51%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 15%
Computer Science 9 13%
Social Sciences 3 4%
Engineering 3 4%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 4 6%
Unknown 37 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 October 2020.
All research outputs
#15,588,166
of 23,248,929 outputs
Outputs from Frontiers in Plant Science
#10,953
of 21,029 outputs
Outputs of similar age
#247,880
of 401,210 outputs
Outputs of similar age from Frontiers in Plant Science
#282
of 420 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,029 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 46th percentile – i.e., 46% 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 401,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.