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Variation in Caffeine Concentration in Single Coffee Beans

Overview of attention for article published in Journal of Agricultural & Food Chemistry, October 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 news outlet
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1 blog
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5 X users

Citations

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36 Dimensions

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97 Mendeley
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1 CiteULike
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Title
Variation in Caffeine Concentration in Single Coffee Beans
Published in
Journal of Agricultural & Food Chemistry, October 2013
DOI 10.1021/jf4011388
Pubmed ID
Authors

Glen P. Fox, Alex Wu, Liang Yiran, Lesleigh Force

Abstract

Twenty-eight coffee samples from around the world were tested for caffeine levels to develop near-infrared reflectance spectroscopy (NIRS) calibrations for whole and ground coffee. Twenty-five individual beans from five of those coffees were used to develop a NIRS calibration for caffeine concentration in single beans. An international standard high-performance liquid chromatography method was used to analyze for caffeine content. Coffee is a legal stimulant and possesses a number of heath properties. However, there is variation in the level of caffeine in brewed coffee and other caffeinated beverages. Being able to sort beans on the basis of caffeine concentration will improve quality control in the level of caffeine in those beverages. The range in caffeine concentration was from 0.01 mg/g (decaffeinated coffee) to 19.9 mg/g (Italian coffee). The majority of coffees were around 10.0-12.0 mg/g. The NIRS results showed r(2) values for bulk unground and ground coffees were >0.90 with standard errors <2 mg/g. For the single-bean calibration the r(2) values were between 0.85 and 0.93 with standard errors of cross validation of 0.8-1.6 mg/g depending upon calibration. The results showed it was possible to develop NIRS calibrations to estimate the caffeine concentration of individual coffee beans. One application of this calibration could be sorting beans on caffeine concentration to provide greater quality control for high-end markets. Furthermore, bean sorting may open new markets for novel coffee products.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 29%
Researcher 11 11%
Student > Ph. D. Student 10 10%
Student > Master 9 9%
Other 5 5%
Other 13 13%
Unknown 21 22%
Readers by discipline Count As %
Chemistry 24 25%
Agricultural and Biological Sciences 13 13%
Biochemistry, Genetics and Molecular Biology 7 7%
Medicine and Dentistry 6 6%
Computer Science 3 3%
Other 21 22%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 01 February 2023.
All research outputs
#1,872,197
of 25,377,790 outputs
Outputs from Journal of Agricultural & Food Chemistry
#902
of 19,056 outputs
Outputs of similar age
#17,170
of 225,515 outputs
Outputs of similar age from Journal of Agricultural & Food Chemistry
#14
of 169 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,056 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 95% of its peers.
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 225,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.