↓ Skip to main content

PLOS

Prevention of UVA-Induced Oxidative Damage in Human Dermal Fibroblasts by New UV Filters, Assessed Using a Novel In Vitro Experimental System

Overview of attention for article published in PLOS ONE, January 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
89 Mendeley
Title
Prevention of UVA-Induced Oxidative Damage in Human Dermal Fibroblasts by New UV Filters, Assessed Using a Novel In Vitro Experimental System
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0083401
Pubmed ID
Authors

Francesca Brugè, Luca Tiano, Paola Astolfi, Monica Emanuelli, Elisabetta Damiani

Abstract

UVA rays present in sunlight are able to reach the dermal skin layer generating reactive oxygen species (ROS) responsible for oxidative damage, alterations in gene expression, DNA damage, leading to cell inflammation, photo-ageing/-carcinogenesis. Sunscreens contain UV filters as active ingredients that absorb/reflect/dissipate UV radiation: their efficiency depends on their spectral profile and photostability which should then be reflected in biological protection of underlying skin.

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

Geographical breakdown

Country Count As %
India 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 16%
Student > Master 13 15%
Student > Ph. D. Student 12 13%
Student > Doctoral Student 7 8%
Unspecified 5 6%
Other 19 21%
Unknown 19 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 18%
Agricultural and Biological Sciences 16 18%
Chemistry 8 9%
Medicine and Dentistry 8 9%
Unspecified 5 6%
Other 16 18%
Unknown 20 22%