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Mendeley readers
Attention Score in Context
| Title |
Sebomic identification of sex- and ethnicity-specific variations in residual skin surface components (RSSC) for bio-monitoring or forensic applications
|
|---|---|
| Published in |
Lipids in Health and Disease, August 2018
|
| DOI | 10.1186/s12944-018-0844-z |
| Pubmed ID | |
| Authors |
Satyajit S. Shetage, Matthew J. Traynor, Marc B. Brown, Robert P. Chilcott |
| Abstract |
"Residual skin surface components" (RSSC) is the collective term used for the superficial layer of sebum, residue of sweat, small quantities of intercellular lipids and components of natural moisturising factor present on the skin surface. Potential applications of RSSC include use as a sampling matrix for identifying biomarkers of disease, environmental exposure monitoring, and forensics (retrospective identification of exposure to toxic chemicals). However, it is essential to first define the composition of "normal" RSSC. Therefore, the aim of the current study was to characterise RSSC to determine commonalities and differences in RSSC composition in relation to sex and ethnicity. Samples of RSSC were acquired from volunteers using a previously validated method and analysed by high-pressure liquid chromatography-atmospheric pressure chemical ionisation-mass spectrometry (HPLC-APCI-MS). The resulting data underwent sebomic analysis. The composition and abundance of RSSC components varied according to sex and ethnicity. The normalised abundance of free fatty acids, wax esters, diglycerides and triglycerides was significantly higher in males than females. Ethnicity-specific differences were observed in free fatty acids and a diglyceride. The HPLC-APCI-MS method developed in this study was successfully used to analyse the normal composition of RSSC. Compositional differences in the RSSC can be attributed to sex and ethnicity and may reflect underlying factors such as diet, hormonal levels and enzyme expression. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 11% |
| Researcher | 4 | 11% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 19% |
| Medicine and Dentistry | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 12 | 33% |
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 24 December 2018.
All research outputs
#18,647,094
of 23,100,534 outputs
Outputs from Lipids in Health and Disease
#991
of 1,460 outputs
Outputs of similar age
#256,460
of 333,774 outputs
Outputs of similar age from Lipids in Health and Disease
#22
of 35 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,460 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 17th percentile – i.e., 17% 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 333,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.