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Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review

Overview of attention for article published in Frontiers in Plant Science, March 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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
8 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
104 Mendeley
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Title
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Published in
Frontiers in Plant Science, March 2023
DOI 10.3389/fpls.2023.1143326
Pubmed ID
Authors

Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado, Ana I. de Castro, José M. Peña

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 10%
Student > Ph. D. Student 9 9%
Lecturer 7 7%
Other 6 6%
Student > Bachelor 3 3%
Other 11 11%
Unknown 58 56%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 13%
Computer Science 11 11%
Engineering 7 7%
Business, Management and Accounting 4 4%
Earth and Planetary Sciences 2 2%
Other 8 8%
Unknown 59 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 December 2023.
All research outputs
#4,500,940
of 25,000,733 outputs
Outputs from Frontiers in Plant Science
#2,318
of 23,979 outputs
Outputs of similar age
#83,937
of 409,672 outputs
Outputs of similar age from Frontiers in Plant Science
#52
of 1,060 outputs
Altmetric has tracked 25,000,733 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,979 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 90% 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 409,672 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 79% of its contemporaries.
We're also able to compare this research output to 1,060 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 95% of its contemporaries.