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Chromatographic Fingerprinting with Multivariate Data Analysis for Detection and Quantification of Apricot Kernel in Almond Powder

Overview of attention for article published in Food Analytical Methods, April 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

policy
1 policy source
googleplus
1 Google+ user

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
40 Mendeley
Title
Chromatographic Fingerprinting with Multivariate Data Analysis for Detection and Quantification of Apricot Kernel in Almond Powder
Published in
Food Analytical Methods, April 2017
DOI 10.1007/s12161-017-0903-5
Authors

Mahnaz Esteki, Bahman Farajmand, Yadollah Kolahderazi, Jesus Simal-Gandara

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Researcher 5 13%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 5 13%
Student > Bachelor 3 8%
Other 9 23%
Unknown 7 18%
Readers by discipline Count As %
Chemistry 10 25%
Agricultural and Biological Sciences 7 18%
Physics and Astronomy 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Engineering 2 5%
Other 7 18%
Unknown 10 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2021.
All research outputs
#6,487,475
of 23,002,898 outputs
Outputs from Food Analytical Methods
#52
of 581 outputs
Outputs of similar age
#103,704
of 310,259 outputs
Outputs of similar age from Food Analytical Methods
#3
of 10 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 581 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 90% 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 310,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.