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Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network

Overview of attention for article published in Frontiers in Plant Science, October 2019
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Mentioned by

twitter
4 X users

Readers on

mendeley
160 Mendeley
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Title
Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network
Published in
Frontiers in Plant Science, October 2019
DOI 10.3389/fpls.2019.01422
Pubmed ID
Authors

Jialin Yu, Arnold W. Schumann, Zhe Cao, Shaun M. Sharpe, Nathan S. Boyd

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 160 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 13%
Student > Ph. D. Student 17 11%
Researcher 15 9%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 16 10%
Unknown 71 44%
Readers by discipline Count As %
Computer Science 32 20%
Agricultural and Biological Sciences 24 15%
Engineering 23 14%
Biochemistry, Genetics and Molecular Biology 2 1%
Psychology 2 1%
Other 6 4%
Unknown 71 44%
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 27 November 2019.
All research outputs
#13,973,916
of 23,175,240 outputs
Outputs from Frontiers in Plant Science
#7,247
of 20,878 outputs
Outputs of similar age
#188,732
of 363,110 outputs
Outputs of similar age from Frontiers in Plant Science
#253
of 492 outputs
Altmetric has tracked 23,175,240 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,878 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 64% 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 363,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 492 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.