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Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network

Overview of attention for article published in Frontiers in Plant Science, June 2022
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2 X users

Citations

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Readers on

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88 Mendeley
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Title
Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network
Published in
Frontiers in Plant Science, June 2022
DOI 10.3389/fpls.2022.808380
Pubmed ID
Authors

Waleed Albattah, Ali Javed, Marriam Nawaz, Momina Masood, Saleh Albahli

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

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 9%
Lecturer 5 6%
Student > Master 4 5%
Lecturer > Senior Lecturer 2 2%
Student > Doctoral Student 2 2%
Other 8 9%
Unknown 59 67%
Readers by discipline Count As %
Computer Science 11 13%
Agricultural and Biological Sciences 8 9%
Engineering 5 6%
Unspecified 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 0 0%
Unknown 62 70%
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 10 July 2022.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Frontiers in Plant Science
#13,733
of 20,133 outputs
Outputs of similar age
#312,383
of 442,139 outputs
Outputs of similar age from Frontiers in Plant Science
#820
of 1,379 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,133 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 20th percentile – i.e., 20% 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 442,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,379 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.