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Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks

Overview of attention for article published in Frontiers in Plant Science, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users

Readers on

mendeley
25 Mendeley
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Title
Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks
Published in
Frontiers in Plant Science, June 2021
DOI 10.3389/fpls.2021.673505
Pubmed ID
Authors

Mariela Fernández-Campos, Yu-Ting Huang, Mohammad R. Jahanshahi, Tao Wang, Jian Jin, Darcy E. P. Telenko, Carlos Góngora-Canul, C. D. Cruz

Timeline

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Researcher 3 12%
Lecturer 2 8%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 10 40%
Readers by discipline Count As %
Computer Science 7 28%
Agricultural and Biological Sciences 5 20%
Engineering 2 8%
Environmental Science 1 4%
Unknown 10 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 02 August 2024.
All research outputs
#2,428,937
of 26,490,075 outputs
Outputs from Frontiers in Plant Science
#990
of 25,312 outputs
Outputs of similar age
#58,636
of 463,494 outputs
Outputs of similar age from Frontiers in Plant Science
#45
of 788 outputs
Altmetric has tracked 26,490,075 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,312 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 463,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 788 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.