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Editorial: Intelligent computing in farmland water conservancy for smart agriculture

Overview of attention for article published in Frontiers in Plant Science, July 2023
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Mentioned by

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1 X user

Readers on

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2 Mendeley
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Title
Editorial: Intelligent computing in farmland water conservancy for smart agriculture
Published in
Frontiers in Plant Science, July 2023
DOI 10.3389/fpls.2023.1236010
Pubmed ID
Authors

Yirui Wu, Shaohua Wan, Shivakumara Palaiahnakote

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Psychology 1 50%
Unknown 1 50%
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 20 July 2023.
All research outputs
#21,592,429
of 24,093,053 outputs
Outputs from Frontiers in Plant Science
#18,157
of 22,511 outputs
Outputs of similar age
#132,920
of 162,161 outputs
Outputs of similar age from Frontiers in Plant Science
#343
of 506 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,511 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 162,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 506 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.