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Fast detection of apricot product frauds by added pumpkin via planar chromatography and chemometrics: Greenness assessment by analytical eco-scale

Overview of attention for article published in Food Chemistry, April 2022
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Fast detection of apricot product frauds by added pumpkin via planar chromatography and chemometrics: Greenness assessment by analytical eco-scale
Published in
Food Chemistry, April 2022
DOI 10.1016/j.foodchem.2021.131714
Authors

Petar Ristivojević, Filip Andrić, Vesna Vasić, Dušanka Milojković Opsenica, Gertrud Morlock

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Researcher 1 13%
Student > Ph. D. Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Environmental Science 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 6 75%

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 08 December 2021.
All research outputs
#18,999,122
of 21,352,585 outputs
Outputs from Food Chemistry
#7,502
of 9,870 outputs
Outputs of similar age
#380,109
of 462,337 outputs
Outputs of similar age from Food Chemistry
#148
of 251 outputs
Altmetric has tracked 21,352,585 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 9,870 research outputs from this source. They receive a mean Attention Score of 4.6. 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 462,337 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 251 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.