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Mendeley readers
Attention Score in Context
Title |
Prevention of UVA-Induced Oxidative Damage in Human Dermal Fibroblasts by New UV Filters, Assessed Using a Novel In Vitro Experimental System
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Published in |
PLOS ONE, January 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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% |
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 07 January 2014.
All research outputs
#20,215,721
of 22,738,543 outputs
Outputs from PLOS ONE
#173,225
of 194,081 outputs
Outputs of similar age
#264,136
of 304,598 outputs
Outputs of similar age from PLOS ONE
#4,633
of 5,359 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% 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 304,598 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,359 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.