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Skin models for the testing of transdermal drugs

Overview of attention for article published in Clinical Pharmacology : Advances and Applications, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 179)
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 X user
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8 patents

Citations

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320 Dimensions

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705 Mendeley
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Title
Skin models for the testing of transdermal drugs
Published in
Clinical Pharmacology : Advances and Applications, October 2016
DOI 10.2147/cpaa.s64788
Pubmed ID
Authors

Eman Abd, Shereen A Yousef, Michael N Pastore, Krishna Telaprolu, Yousuf H Mohammed, Sarika Namjoshi, Jeffrey E Grice, Michael S Roberts

Abstract

The assessment of percutaneous permeation of molecules is a key step in the evaluation of dermal or transdermal delivery systems. If the drugs are intended for delivery to humans, the most appropriate setting in which to do the assessment is the in vivo human. However, this may not be possible for ethical, practical, or economic reasons, particularly in the early phases of development. It is thus necessary to find alternative methods using accessible and reproducible surrogates for in vivo human skin. A range of models has been developed, including ex vivo human skin, usually obtained from cadavers or plastic surgery patients, ex vivo animal skin, and artificial or reconstructed skin models. Increasingly, largely driven by regulatory authorities and industry, there is a focus on developing standardized techniques and protocols. With this comes the need to demonstrate that the surrogate models produce results that correlate with those from in vivo human studies and that they can be used to show bioequivalence of different topical products. This review discusses the alternative skin models that have been developed as surrogates for normal and diseased skin and examines the concepts of using model systems for in vitro-in vivo correlation and the demonstration of bioequivalence.

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

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 704 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 127 18%
Student > Master 108 15%
Student > Bachelor 85 12%
Researcher 72 10%
Student > Doctoral Student 37 5%
Other 95 13%
Unknown 181 26%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 172 24%
Biochemistry, Genetics and Molecular Biology 65 9%
Engineering 51 7%
Chemistry 46 7%
Agricultural and Biological Sciences 38 5%
Other 109 15%
Unknown 224 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 26 March 2024.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from Clinical Pharmacology : Advances and Applications
#29
of 179 outputs
Outputs of similar age
#55,687
of 332,577 outputs
Outputs of similar age from Clinical Pharmacology : Advances and Applications
#2
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 332,577 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 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.