You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2
|
|---|---|
| Published in |
Nature Genetics, August 2009
|
| DOI | 10.1038/ng.424 |
| Pubmed ID | |
| Authors |
Honglin Song, Susan J Ramus, Jonathan Tyrer, Kelly L Bolton, Aleksandra Gentry-Maharaj, Eva Wozniak, Hoda Anton-Culver, Jenny Chang-Claude, Daniel W Cramer, Richard DiCioccio, Thilo Dörk, Ellen L Goode, Marc T Goodman, Joellen M Schildkraut, Thomas Sellers, Laura Baglietto, Matthias W Beckmann, Jonathan Beesley, Jan Blaakaer, Michael E Carney, Stephen Chanock, Zhihua Chen, Julie M Cunningham, Ed Dicks, Jennifer A Doherty, Matthias Dürst, Arif B Ekici, David Fenstermacher, Brooke L Fridley, Graham Giles, Martin E Gore, Immaculata De Vivo, Peter Hillemanns, Claus Hogdall, Estrid Hogdall, Edwin S Iversen, Ian J Jacobs, Anna Jakubowska, Dong Li, Jolanta Lissowska, Jan Lubiński, Galina Lurie, Valerie McGuire, John McLaughlin, Krzysztof Mędrek, Patricia G Moorman, Kirsten Moysich, Steven Narod, Catherine Phelan, Carole Pye, Harvey Risch, Ingo B Runnebaum, Gianluca Severi, Melissa Southey, Daniel O Stram, Falk C Thiel, Kathryn L Terry, Ya-Yu Tsai, Shelley S Tworoger, David J Van Den Berg, Robert A Vierkant, Shan Wang-Gohrke, Penelope M Webb, Lynne R Wilkens, Anna H Wu, Hannah Yang, Wendy Brewster, Argyrios Ziogas, Richard Houlston, Ian Tomlinson, Alice S Whittemore, Mary Anne Rossing, Bruce A J Ponder, Celeste Leigh Pearce, Roberta B Ness, Usha Menon, Susanne Krüger Kjaer, Jacek Gronwald, Montserrat Garcia-Closas, Peter A Fasching, Douglas F Easton, Georgia Chenevix-Trench, Andrew Berchuck, Paul D P Pharoah, Simon A Gayther |
| Abstract |
Epithelial ovarian cancer has a major heritable component, but the known susceptibility genes explain less than half the excess familial risk. We performed a genome-wide association study (GWAS) to identify common ovarian cancer susceptibility alleles. We evaluated 507,094 SNPs genotyped in 1,817 cases and 2,353 controls from the UK and approximately 2 million imputed SNPs. We genotyped the 22,790 top ranked SNPs in 4,274 cases and 4,809 controls of European ancestry from Europe, USA and Australia. We identified 12 SNPs at 9p22 associated with disease risk (P < 10(-8)). The most significant SNP (rs3814113; P = 2.5 x 10(-17)) was genotyped in a further 2,670 ovarian cancer cases and 4,668 controls, confirming its association (combined data odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.79-0.86, P(trend) = 5.1 x 10(-19)). The association differs by histological subtype, being strongest for serous ovarian cancers (OR 0.77, 95% CI 0.73-0.81, P(trend) = 4.1 x 10(-21)). |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 3 | 2% |
| Brazil | 2 | 1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Belgium | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 145 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 27% |
| Student > Ph. D. Student | 28 | 18% |
| Other | 14 | 9% |
| Professor | 13 | 8% |
| Student > Master | 12 | 8% |
| Other | 31 | 19% |
| Unknown | 18 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 35% |
| Biochemistry, Genetics and Molecular Biology | 35 | 22% |
| Medicine and Dentistry | 27 | 17% |
| Social Sciences | 5 | 3% |
| Mathematics | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 23 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 14 July 2018.
All research outputs
#1,752,229
of 25,837,817 outputs
Outputs from Nature Genetics
#2,442
of 7,639 outputs
Outputs of similar age
#5,500
of 126,653 outputs
Outputs of similar age from Nature Genetics
#15
of 47 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 126,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.