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Prediction of wheat SPAD using integrated multispectral and support vector machines

Overview of attention for article published in Frontiers in Plant Science, June 2024
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1 X user

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2 Mendeley
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Title
Prediction of wheat SPAD using integrated multispectral and support vector machines
Published in
Frontiers in Plant Science, June 2024
DOI 10.3389/fpls.2024.1405068
Pubmed ID
Authors

Wei Wang, Na Sun, Bin Bai, Hao Wu, Yukun Cheng, Hongwei Geng, JiKun Song, JinPing Zhou, Zhiyuan Pang, SongTing Qian, Wanyin Zeng

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.
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 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 %
Unspecified 2 100%
Readers by discipline Count As %
Unspecified 2 100%
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 22 June 2024.
All research outputs
#23,505,443
of 26,171,302 outputs
Outputs from Frontiers in Plant Science
#20,042
of 25,028 outputs
Outputs of similar age
#124,853
of 157,058 outputs
Outputs of similar age from Frontiers in Plant Science
#37
of 67 outputs
Altmetric has tracked 26,171,302 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 25,028 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 157,058 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 67 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.