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Estimating Maximal In Vitro Skin Permeation Flux from Studies Using Non-sink Receptor Phase Conditions

Overview of attention for article published in Pharmaceutical Research, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
1 news outlet

Citations

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19 Dimensions

Readers on

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25 Mendeley
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Title
Estimating Maximal In Vitro Skin Permeation Flux from Studies Using Non-sink Receptor Phase Conditions
Published in
Pharmaceutical Research, June 2016
DOI 10.1007/s11095-016-1955-8
Pubmed ID
Authors

Shereen Yousef, Xin Liu, Ahmed Mostafa, Yousuf Mohammed, Jeffrey E. Grice, Yuri G. Anissimov, Wedad Sakran, Michael S. Roberts

Abstract

This study explored the impact of non-sink receptor conditions on the in vitro skin permeation test (IVPT) and sought to estimate equivalent sink condition IVPT data. Simulated diffusion model and experimental IVPT data were generated for ethyl salicylate across human epidermal membranes in Franz diffusion cells using six different receptor phases, with a 10 fold variation in ethyl salicylate solubility. Both simulated and experimental IVPT - time profiles were markedly affected by receptor phase solubility and receptor sampling rates. Similar sink condition equivalent estimated maximum fluxes were obtained by nonlinear regression and adjustment of linear regression estimates of steady state flux for relative saturation of the receptor phase over time for the four receptor phases in which the ethyl salicylate was relatively soluble. The markedly lower steady - state fluxes found for the other two phases in which ethyl salicylate was less soluble was attributed to an aqueous solution boundary layer effect. Non-sink receptor phase IVPT data can be used to derive equivalent sink receptor phase IVPT data provided the receptor phase solubility and hydrodynamics are sufficient to minimise the impact of aqueous diffusion layers on IVPT data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Master 4 16%
Professor > Associate Professor 2 8%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 28%
Medicine and Dentistry 3 12%
Biochemistry, Genetics and Molecular Biology 1 4%
Linguistics 1 4%
Mathematics 1 4%
Other 2 8%
Unknown 10 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 June 2016.
All research outputs
#4,191,330
of 22,877,793 outputs
Outputs from Pharmaceutical Research
#407
of 2,860 outputs
Outputs of similar age
#69,377
of 326,206 outputs
Outputs of similar age from Pharmaceutical Research
#15
of 51 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,860 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 83% 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 326,206 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.