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Mendeley readers
Attention Score in Context
| Title |
Association between putative functional variants in the PSMB9 gene and risk of melanoma – re‐analysis of published melanoma genome‐wide association studies
|
|---|---|
| Published in |
Pigment Cell & Melanoma Research, March 2013
|
| DOI | 10.1111/pcmr.12069 |
| Pubmed ID | |
| Authors |
Ji Qian, Hongliang Liu, Sheng Wei, Zhensheng Liu, Yangkai Li, Li‐E Wang, Wei V. Chen, Christopher I. Amos, Jeffrey E. Lee, GenoMEL investigators, Mark M. Iles, Matthew H. Law, Q‐MEGA AMFS investigators, Anne E. Cust, Jennifer H. Barrett, Grant W. Montgomery, John Taylor, Julia A. Newton Bishop, Stuart MacGregor, D. Timothy Bishop, Graham J. Mann, Nicholas K. Hayward, Qingyi Wei |
| Abstract |
To mine possibly hidden causal single-nucleotide polymorphisms (SNPs) of melanoma, we investigated the association of SNPs in 76 M/G1 transition genes with melanoma risk using our published genome-wide association study (GWAS) data set with 1804 melanoma cases and 1026 cancer-free controls. We found multiple SNPs with P < 0.01 and performed validation studies for 18 putative functional SNPs in PSMB9 in two other GWAS data sets. Two SNPs (rs1351383 and rs2127675) were associated with melanoma risk in the GenoMEL data set (P = 0.013 and 0.004, respectively), but failed in validation using the Australian data set. Genotype-phenotype analysis revealed these two SNPs were significantly correlated with mRNA expression level of PSMB9. Further experiments revealed that SNP rs2071480, which is in high LD with rs1351383 and rs2127675, may have a weak effect on the promoter activity of PSMB9. Taken together, our data suggested that functional variants in PSMB9 may contribute to melanoma susceptibility. |
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 % |
|---|---|---|
| Unknown | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 5 | 19% |
| Student > Master | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 31% |
| Medicine and Dentistry | 5 | 19% |
| Agricultural and Biological Sciences | 4 | 15% |
| Immunology and Microbiology | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 19% |
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 30 January 2013.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from Pigment Cell & Melanoma Research
#909
of 1,266 outputs
Outputs of similar age
#155,188
of 210,340 outputs
Outputs of similar age from Pigment Cell & Melanoma Research
#10
of 31 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 21st percentile – i.e., 21% 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 210,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.