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Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products

Overview of attention for article published in Journal of Food Engineering, December 2018
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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2 X users

Readers on

mendeley
90 Mendeley
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Article details
Title
Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products
Published in
Journal of Food Engineering, December 2018
DOI 10.1016/j.jfoodeng.2018.06.015
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 12 13%
Student > Master 10 11%
Student > Bachelor 8 9%
Student > Doctoral Student 4 4%
Other 5 6%
Unknown 35 39%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 16 18%
Chemistry 10 11%
Engineering 5 6%
Computer Science 4 4%
Physics and Astronomy 2 2%
Other 8 9%
Unknown 45 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2023.
All research outputs
#17,852,160
of 27,788,803 outputs
Outputs from Journal of Food Engineering
#1,449
of 1,955 outputs
Outputs of similar age
#262,585
of 451,966 outputs
Outputs of similar age from Journal of Food Engineering
#16
of 36 outputs
Altmetric has tracked 27,788,803 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,955 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 24th percentile – i.e., 24% 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 451,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.