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Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning

Overview of attention for article published in Frontiers in Plant Science, January 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
18 Mendeley
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Title
Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning
Published in
Frontiers in Plant Science, January 2023
DOI 10.3389/fpls.2022.1077403
Pubmed ID
Authors

Chongyuan Zhang, Brenden Lane, Mariela Fernández-Campos, Andres Cruz-Sancan, Da-Young Lee, Carlos Gongora-Canul, Tiffanna J. Ross, Camila R. Da Silva, Darcy E. P. Telenko, Stephen B. Goodwin, Steven R. Scofield, Sungchan Oh, Jinha Jung, C. D. Cruz

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Professor 1 6%
Student > Ph. D. Student 1 6%
Student > Master 1 6%
Other 2 11%
Unknown 11 61%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Earth and Planetary Sciences 1 6%
Engineering 1 6%
Unknown 11 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 January 2023.
All research outputs
#5,239,880
of 25,225,928 outputs
Outputs from Frontiers in Plant Science
#2,797
of 24,264 outputs
Outputs of similar age
#106,084
of 469,439 outputs
Outputs of similar age from Frontiers in Plant Science
#79
of 1,314 outputs
Altmetric has tracked 25,225,928 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,264 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 469,439 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 77% of its contemporaries.
We're also able to compare this research output to 1,314 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 93% of its contemporaries.