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Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA–LDA models built by hyperspectral data

Overview of attention for article published in Journal of Food Measurement and Characterization, August 2019
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Title
Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA–LDA models built by hyperspectral data
Published in
Journal of Food Measurement and Characterization, August 2019
DOI 10.1007/s11694-019-00234-0
Authors

Tong Lei, Xiao-Hui Lin, Da-Wen Sun

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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 09 September 2019.
All research outputs
#12,073,950
of 13,601,191 outputs
Outputs from Journal of Food Measurement and Characterization
#39
of 49 outputs
Outputs of similar age
#171,549
of 206,939 outputs
Outputs of similar age from Journal of Food Measurement and Characterization
#4
of 5 outputs
Altmetric has tracked 13,601,191 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 49 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 10 of them.
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 206,939 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 5 others from the same source and published within six weeks on either side of this one.