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MC1Rgenotype as a predictor of early-onset melanoma, compared with self-reported and physician-measured traditional risk factors: an Australian case-control-family study

Overview of attention for article published in BMC Cancer, September 2013
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Title
MC1Rgenotype as a predictor of early-onset melanoma, compared with self-reported and physician-measured traditional risk factors: an Australian case-control-family study
Published in
BMC Cancer, September 2013
DOI 10.1186/1471-2407-13-406
Pubmed ID
Authors

Anne E Cust, Chris Goumas, Kylie Vuong, John R Davies, Jennifer H Barrett, Elizabeth A Holland, Helen Schmid, Chantelle Agha-Hamilton, Bruce K Armstrong, Richard F Kefford, Joanne F Aitken, Graham G Giles, D Timothy Bishop, Julia A Newton-Bishop, John L Hopper, Graham J Mann, Mark A Jenkins

Abstract

Melanocortin-1 receptor (MC1R) gene variants are very common and are associated with melanoma risk, but their contribution to melanoma risk prediction compared with traditional risk factors is unknown. We aimed to 1) evaluate the separate and incremental contribution of MC1R genotype to prediction of early-onset melanoma, and compare this with the contributions of physician-measured and self-reported traditional risk factors, and 2) develop risk prediction models that include MC1R, and externally validate these models using an independent dataset from a genetically similar melanoma population.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Ph. D. Student 6 13%
Student > Bachelor 6 13%
Student > Postgraduate 4 9%
Student > Master 4 9%
Other 11 24%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Agricultural and Biological Sciences 7 16%
Biochemistry, Genetics and Molecular Biology 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Neuroscience 2 4%
Other 5 11%
Unknown 9 20%
Attention Score in Context

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 12 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from BMC Cancer
#4,107
of 8,268 outputs
Outputs of similar age
#120,977
of 196,876 outputs
Outputs of similar age from BMC Cancer
#39
of 74 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,268 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 40th percentile – i.e., 40% 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 196,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.