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A fast hyperspectral change detection algorithm for agricultural crops based on low-rank matrix and morphological feature extraction

Overview of attention for article published in Frontiers in Sustainable Food Systems, March 2024
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Title
A fast hyperspectral change detection algorithm for agricultural crops based on low-rank matrix and morphological feature extraction
Published in
Frontiers in Sustainable Food Systems, March 2024
DOI 10.3389/fsufs.2024.1363726
Authors

Jin Wang, Lifu Zhang, Ruoxi Song, Changping Huang, Donghui Zhang, Senhao Liu, Yanwen Liu

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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 15 March 2024.
All research outputs
#22,860,880
of 25,490,562 outputs
Outputs from Frontiers in Sustainable Food Systems
#1,482
of 2,749 outputs
Outputs of similar age
#127,489
of 159,704 outputs
Outputs of similar age from Frontiers in Sustainable Food Systems
#27
of 122 outputs
Altmetric has tracked 25,490,562 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 2,749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. 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 159,704 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 122 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.