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Screening Method for the Quality Evaluation of Cannabidiols in Water-based Products Using Liquid Chromatography Tandem Mass Spectrometry

Overview of attention for article published in Analytical Sciences, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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2 X users

Citations

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11 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Screening Method for the Quality Evaluation of Cannabidiols in Water-based Products Using Liquid Chromatography Tandem Mass Spectrometry
Published in
Analytical Sciences, July 2020
DOI 10.2116/analsci.20n015
Pubmed ID
Authors

Shiori Takashina, Yuki Igarashi, Miki Takahashi, Yukie Kondo, Koichi Inoue

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Master 1 8%
Unknown 8 67%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Chemistry 1 8%
Medicine and Dentistry 1 8%
Unknown 9 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 January 2021.
All research outputs
#15,089,020
of 23,223,705 outputs
Outputs from Analytical Sciences
#597
of 921 outputs
Outputs of similar age
#236,189
of 398,322 outputs
Outputs of similar age from Analytical Sciences
#1
of 14 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 921 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 33rd percentile – i.e., 33% 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 398,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.