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Corn Yield Prediction With Ensemble CNN-DNN

Overview of attention for article published in Frontiers in Plant Science, August 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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39 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Corn Yield Prediction With Ensemble CNN-DNN
Published in
Frontiers in Plant Science, August 2021
DOI 10.3389/fpls.2021.709008
Pubmed ID
Authors

Mohsen Shahhosseini, Guiping Hu, Saeed Khaki, Sotirios V. Archontoulis

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Ph. D. Student 5 10%
Lecturer 3 6%
Researcher 3 6%
Professor 2 4%
Other 4 8%
Unknown 24 50%
Readers by discipline Count As %
Computer Science 7 15%
Agricultural and Biological Sciences 4 8%
Environmental Science 3 6%
Engineering 3 6%
Unspecified 1 2%
Other 4 8%
Unknown 26 54%
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 02 August 2021.
All research outputs
#17,297,846
of 25,392,582 outputs
Outputs from Frontiers in Plant Science
#12,904
of 24,613 outputs
Outputs of similar age
#267,914
of 439,760 outputs
Outputs of similar age from Frontiers in Plant Science
#435
of 823 outputs
Altmetric has tracked 25,392,582 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 24,613 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 439,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 823 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.