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Effects of Image Dataset Configuration on the Accuracy of Rice Disease Recognition Based on Convolution Neural Network

Overview of attention for article published in Frontiers in Plant Science, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
3 X users

Citations

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6 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Effects of Image Dataset Configuration on the Accuracy of Rice Disease Recognition Based on Convolution Neural Network
Published in
Frontiers in Plant Science, July 2022
DOI 10.3389/fpls.2022.910878
Pubmed ID
Authors

Huiru Zhou, Jie Deng, Dingzhou Cai, Xuan Lv, Bo Ming Wu

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 12%
Student > Bachelor 1 6%
Other 1 6%
Student > Master 1 6%
Unknown 12 71%
Readers by discipline Count As %
Computer Science 3 18%
Engineering 1 6%
Unknown 13 76%
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 23 July 2022.
All research outputs
#14,905,070
of 24,132,754 outputs
Outputs from Frontiers in Plant Science
#7,986
of 22,533 outputs
Outputs of similar age
#202,638
of 423,838 outputs
Outputs of similar age from Frontiers in Plant Science
#311
of 1,319 outputs
Altmetric has tracked 24,132,754 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,533 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 423,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,319 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.