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Food forensics on gelatine source via ultra-high-performance liquid chromatography diode-array detector and principal component analysis

Overview of attention for article published in SN Applied Sciences, January 2021
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1 X user

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32 Mendeley
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Title
Food forensics on gelatine source via ultra-high-performance liquid chromatography diode-array detector and principal component analysis
Published in
SN Applied Sciences, January 2021
DOI 10.1007/s42452-020-04061-7
Authors

Azilawati Mohd Ismail, Muhamad Shirwan Abdullah Sani, Azman Azid, Nor Nadiha Mohd Zaki, Syariena Arshad, Nur Azira Tukiran, Siti Aimi Sarah Zainal Abidin, Mohd Saiful Samsudin, Amin Ismail

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 3 9%
Student > Ph. D. Student 2 6%
Researcher 2 6%
Student > Postgraduate 2 6%
Student > Master 2 6%
Other 5 16%
Unknown 16 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 13%
Environmental Science 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Unspecified 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 17 53%
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 16 January 2021.
All research outputs
#20,679,788
of 23,274,744 outputs
Outputs from SN Applied Sciences
#1,323
of 1,371 outputs
Outputs of similar age
#430,623
of 504,225 outputs
Outputs of similar age from SN Applied Sciences
#121
of 124 outputs
Altmetric has tracked 23,274,744 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 1,371 research outputs from this source. They receive a mean Attention Score of 3.1. 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 504,225 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 124 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.