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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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Mentioned by

twitter
1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Chemistry 1 33%
Unknown 2 67%

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
#12,384,542
of 13,999,449 outputs
Outputs from Journal of Food Measurement and Characterization
#43
of 53 outputs
Outputs of similar age
#210,798
of 254,685 outputs
Outputs of similar age from Journal of Food Measurement and Characterization
#4
of 5 outputs
Altmetric has tracked 13,999,449 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 53 research outputs from this source. They receive a mean Attention Score of 2.8. 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 254,685 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.