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Geographical discrimination of saffron (Crocus sativus L.) using ICP-MS elemental data and class modeling of PDO Zafferano dell’Aquila produced in Abruzzo (Italy)

Overview of attention for article published in Food Analytical Methods, August 2019
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1 tweeter

Citations

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2 Dimensions

Readers on

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1 Mendeley
Title
Geographical discrimination of saffron (Crocus sativus L.) using ICP-MS elemental data and class modeling of PDO Zafferano dell’Aquila produced in Abruzzo (Italy)
Published in
Food Analytical Methods, August 2019
DOI 10.1007/s12161-019-01610-8
Authors

Angelo Antonio D’Archivio, Maria Laura Di Vacri, Marco Ferrante, Maria Anna Maggi, Stefano Nisi, Fabrizio Ruggieri

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Other 1 100%
Readers by discipline Count As %
Unspecified 1 100%

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 01 August 2019.
All research outputs
#12,153,825
of 13,715,693 outputs
Outputs from Food Analytical Methods
#139
of 268 outputs
Outputs of similar age
#206,740
of 249,104 outputs
Outputs of similar age from Food Analytical Methods
#12
of 21 outputs
Altmetric has tracked 13,715,693 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 268 research outputs from this source. They receive a mean Attention Score of 1.8. 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 249,104 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 21 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.