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The Effect of UGT1A9, CYP2B6 and CYP2C9 Genes Polymorphism on Propofol Pharmacokinetics in Children

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, January 2020
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1 X user

Citations

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11 Dimensions

Readers on

mendeley
19 Mendeley
Title
The Effect of UGT1A9, CYP2B6 and CYP2C9 Genes Polymorphism on Propofol Pharmacokinetics in Children
Published in
Pharmacogenomics and Personalized Medicine, January 2020
DOI 10.2147/pgpm.s231329
Pubmed ID
Authors

Dimitrije Pavlovic, Ivana Budic, Tatjana Jevtovic Stoimenov, Dragana Stokanovic, Vesna Marjanovic, Marija Stevic, Milan Slavkovic, Dusica Simic

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Postgraduate 2 11%
Researcher 1 5%
Student > Master 1 5%
Other 0 0%
Unknown 11 58%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 16%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 5%
Unknown 13 68%
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 2020.
All research outputs
#20,964,263
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#362,456
of 479,923 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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 479,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them