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An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network

Overview of attention for article published in Frontiers in Plant Science, December 2022
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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
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
30 Mendeley
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Title
An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network
Published in
Frontiers in Plant Science, December 2022
DOI 10.3389/fpls.2022.1002606
Pubmed ID
Authors

Rong-Zhou Qiu, Shao-Ping Chen, Mei-Xiang Chi, Rong-Bo Wang, Ting Huang, Guo-Cheng Fan, Jian Zhao, Qi-Yong Weng

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Other 4 13%
Unspecified 2 7%
Student > Master 2 7%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 15 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 10%
Agricultural and Biological Sciences 3 10%
Unspecified 2 7%
Computer Science 2 7%
Engineering 2 7%
Other 3 10%
Unknown 15 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 20 December 2022.
All research outputs
#17,033,637
of 25,030,708 outputs
Outputs from Frontiers in Plant Science
#12,664
of 24,008 outputs
Outputs of similar age
#267,218
of 474,477 outputs
Outputs of similar age from Frontiers in Plant Science
#692
of 1,381 outputs
Altmetric has tracked 25,030,708 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,008 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 474,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,381 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.