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Discrimination of Cocoa Liquors Based on Their Odor Fingerprint: a Fast GC Electronic Nose Suitability Study

Overview of attention for article published in Food Analytical Methods, October 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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41 Dimensions

Readers on

mendeley
82 Mendeley
Title
Discrimination of Cocoa Liquors Based on Their Odor Fingerprint: a Fast GC Electronic Nose Suitability Study
Published in
Food Analytical Methods, October 2018
DOI 10.1007/s12161-018-1379-7
Authors

Hayley Rottiers, Daylan Amelia Tzompa Sosa, Liesbet Van de Vyver, Michael Hinneh, Helena Everaert, Jocelyn De Wever, Kathy Messens, Koen Dewettinck

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Researcher 8 10%
Student > Ph. D. Student 8 10%
Student > Doctoral Student 8 10%
Student > Bachelor 5 6%
Other 13 16%
Unknown 25 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 26%
Engineering 8 10%
Chemistry 5 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Physics and Astronomy 2 2%
Other 10 12%
Unknown 33 40%
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 18 October 2018.
All research outputs
#18,652,089
of 23,106,934 outputs
Outputs from Food Analytical Methods
#241
of 582 outputs
Outputs of similar age
#264,784
of 346,175 outputs
Outputs of similar age from Food Analytical Methods
#6
of 15 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 582 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 48th percentile – i.e., 48% 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 346,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.