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Advancing Agricultural Production With Machine Learning Analytics: Yield Determinants for California’s Almond Orchards

Overview of attention for article published in Frontiers in Plant Science, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Advancing Agricultural Production With Machine Learning Analytics: Yield Determinants for California’s Almond Orchards
Published in
Frontiers in Plant Science, March 2020
DOI 10.3389/fpls.2020.00290
Pubmed ID
Authors

Yufang Jin, Bin Chen, Bruce D. Lampinen, Patrick H. Brown

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 14%
Student > Ph. D. Student 12 13%
Student > Master 11 12%
Student > Doctoral Student 6 6%
Lecturer 5 5%
Other 16 17%
Unknown 31 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 14%
Environmental Science 10 11%
Engineering 9 10%
Social Sciences 4 4%
Unspecified 4 4%
Other 16 17%
Unknown 38 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 April 2020.
All research outputs
#7,411,953
of 24,226,848 outputs
Outputs from Frontiers in Plant Science
#4,410
of 22,669 outputs
Outputs of similar age
#133,822
of 368,415 outputs
Outputs of similar age from Frontiers in Plant Science
#147
of 487 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 22,669 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 368,415 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 63% of its contemporaries.
We're also able to compare this research output to 487 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 69% of its contemporaries.