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Crop Yield Prediction Using Deep Neural Networks

Overview of attention for article published in Frontiers in Plant Science, May 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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5 X users
patent
1 patent

Citations

dimensions_citation
446 Dimensions

Readers on

mendeley
703 Mendeley
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Title
Crop Yield Prediction Using Deep Neural Networks
Published in
Frontiers in Plant Science, May 2019
DOI 10.3389/fpls.2019.00621
Pubmed ID
Authors

Saeed Khaki, Lizhi Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 703 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 703 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 13%
Student > Master 88 13%
Researcher 66 9%
Student > Bachelor 54 8%
Unspecified 32 5%
Other 104 15%
Unknown 269 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 120 17%
Computer Science 115 16%
Engineering 66 9%
Unspecified 32 5%
Environmental Science 21 3%
Other 54 8%
Unknown 295 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 May 2024.
All research outputs
#7,174,906
of 26,090,071 outputs
Outputs from Frontiers in Plant Science
#3,774
of 24,991 outputs
Outputs of similar age
#119,495
of 367,300 outputs
Outputs of similar age from Frontiers in Plant Science
#110
of 344 outputs
Altmetric has tracked 26,090,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 24,991 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 367,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 344 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.