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Mendeley readers
Attention Score in Context
| Title |
Fine mapping of genetic susceptibility loci for melanoma reveals a mixture of single variant and multiple variant regions
|
|---|---|
| Published in |
International Journal of Cancer, August 2014
|
| DOI | 10.1002/ijc.29099 |
| Pubmed ID | |
| Authors |
Jennifer H. Barrett, John C. Taylor, Chloe Bright, Mark Harland, Alison M. Dunning, Lars A. Akslen, Per A. Andresen, Marie‐Françoise Avril, Esther Azizi, Giovanna Bianchi Scarrà, Myriam Brossard, Kevin M. Brown, Tadeusz Dębniak, David E. Elder, Eitan Friedman, Paola Ghiorzo, Elizabeth M. Gillanders, Nelleke A. Gruis, Johan Hansson, Per Helsing, Marko Hočevar, Veronica Höiom, Christian Ingvar, Maria Teresa Landi, Julie Lang, G. Mark Lathrop, Jan Lubiński, Rona M. Mackie, Anders Molven, Srdjan Novaković, Håkan Olsson, Susana Puig, Joan Anton Puig‐Butille, Nienke van der Stoep, Remco van Doorn, Wilbert van Workum, Alisa M. Goldstein, Peter A. Kanetsky, Paul D. P. Pharoah, Florence Demenais, Nicholas K. Hayward, Julia A. Newton Bishop, D. Timothy Bishop, Mark M. Iles, on behalf of the GenoMEL Consortium |
| Abstract |
At least 17 genomic regions are established as harboring melanoma susceptibility variants, in most instances with genome-wide levels of significance and replication in independent samples. Based on genome-wide single nucleotide polymorphism (SNP) data augmented by imputation to the 1,000 Genomes reference panel, we have fine mapped these regions in over 5,000 individuals with melanoma (mainly from the GenoMEL consortium) and over 7,000 ethnically matched controls. A penalized regression approach was used to discover those SNP markers that most parsimoniously explain the observed association in each genomic region. For the majority of the regions, the signal is best explained by a single SNP, which sometimes, as in the tyrosinase region, is a known functional variant. However in five regions the explanation is more complex. At the CDKN2A locus, for example, there is strong evidence that not only multiple SNPs but also multiple genes are involved. Our results illustrate the variability in the biology underlying genome-wide susceptibility loci and make steps toward accounting for some of the "missing heritability." |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 25% |
| Researcher | 12 | 21% |
| Professor > Associate Professor | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Professor | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 27% |
| Agricultural and Biological Sciences | 13 | 23% |
| Medicine and Dentistry | 13 | 23% |
| Mathematics | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 11 | 20% |
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 21 April 2015.
All research outputs
#15,314,171
of 22,776,824 outputs
Outputs from International Journal of Cancer
#9,658
of 11,710 outputs
Outputs of similar age
#133,709
of 231,213 outputs
Outputs of similar age from International Journal of Cancer
#71
of 122 outputs
Altmetric has tracked 22,776,824 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 11,710 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 13th percentile – i.e., 13% 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 231,213 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.