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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array
|
|---|---|
| Published in |
Nature Genetics, March 2013
|
| DOI | 10.1038/ng.2560 |
| Pubmed ID | |
| Authors |
Rosalind A Eeles, Ali Amin Al Olama, Sara Benlloch, Edward J Saunders, Daniel A Leongamornlert, Malgorzata Tymrakiewicz, Maya Ghoussaini, Craig Luccarini, Joe Dennis, Sarah Jugurnauth-Little, Tokhir Dadaev, David E Neal, Freddie C Hamdy, Jenny L Donovan, Ken Muir, Graham G Giles, Gianluca Severi, Fredrik Wiklund, Henrik Gronberg, Christopher A Haiman, Fredrick Schumacher, Brian E Henderson, Loic Le Marchand, Sara Lindstrom, Peter Kraft, David J Hunter, Susan Gapstur, Stephen J Chanock, Sonja I Berndt, Demetrius Albanes, Gerald Andriole, Johanna Schleutker, Maren Weischer, Federico Canzian, Elio Riboli, Tim J Key, Ruth C Travis, Daniele Campa, Sue A Ingles, Esther M John, Richard B Hayes, Paul D P Pharoah, Nora Pashayan, Kay-Tee Khaw, Janet L Stanford, Elaine A Ostrander, Lisa B Signorello, Stephen N Thibodeau, Dan Schaid, Christiane Maier, Walther Vogel, Adam S Kibel, Cezary Cybulski, Jan Lubinski, Lisa Cannon-Albright, Hermann Brenner, Jong Y Park, Radka Kaneva, Jyotsna Batra, Amanda B Spurdle, Judith A Clements, Manuel R Teixeira, Ed Dicks, Andrew Lee, Alison M Dunning, Caroline Baynes, Don Conroy, Melanie J Maranian, Shahana Ahmed, Koveela Govindasami, Michelle Guy, Rosemary A Wilkinson, Emma J Sawyer, Angela Morgan, David P Dearnaley, Alan Horwich, Robert A Huddart, Vincent S Khoo, Christopher C Parker, Nicholas J Van As, Christopher J Woodhouse, Alan Thompson, Tim Dudderidge, Chris Ogden, Colin S Cooper, Artitaya Lophatananon, Angela Cox, Melissa C Southey, John L Hopper, Dallas R English, Markus Aly, Jan Adolfsson, Jiangfeng Xu, Siqun L Zheng, Meredith Yeager, Rudolf Kaaks, W Ryan Diver, Mia M Gaudet, Mariana C Stern, Roman Corral, Amit D Joshi, Ahva Shahabi, Tiina Wahlfors, Teuvo L J Tammela, Anssi Auvinen, Jarmo Virtamo, Peter Klarskov, Børge G Nordestgaard, M Andreas Røder, Sune F Nielsen, Stig E Bojesen, Afshan Siddiq, Liesel M FitzGerald, Suzanne Kolb, Erika M Kwon, Danielle M Karyadi, William J Blot, Wei Zheng, Qiuyin Cai, Shannon K McDonnell, Antje E Rinckleb, Bettina Drake, Graham Colditz, Dominika Wokolorczyk, Robert A Stephenson, Craig Teerlink, Heiko Muller, Dietrich Rothenbacher, Thomas A Sellers, Hui-Yi Lin, Chavdar Slavov, Vanio Mitev, Felicity Lose, Srilakshmi Srinivasan, Sofia Maia, Paula Paulo, Ethan Lange, Kathleen A Cooney, Antonis C Antoniou, Daniel Vincent, François Bacot, Daniel C Tessier, Zsofia Kote-Jarai, Douglas F Easton |
| Abstract |
Prostate cancer is the most frequently diagnosed cancer in males in developed countries. To identify common prostate cancer susceptibility alleles, we genotyped 211,155 SNPs on a custom Illumina array (iCOGS) in blood DNA from 25,074 prostate cancer cases and 24,272 controls from the international PRACTICAL Consortium. Twenty-three new prostate cancer susceptibility loci were identified at genome-wide significance (P < 5 × 10(-8)). More than 70 prostate cancer susceptibility loci, explaining ∼30% of the familial risk for this disease, have now been identified. On the basis of combined risks conferred by the new and previously known risk loci, the top 1% of the risk distribution has a 4.7-fold higher risk than the average of the population being profiled. These results will facilitate population risk stratification for clinical studies. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Germany | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 463 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 2% |
| United States | 3 | <1% |
| Denmark | 2 | <1% |
| Canada | 2 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 437 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 92 | 20% |
| Student > Ph. D. Student | 75 | 16% |
| Other | 41 | 9% |
| Student > Master | 40 | 9% |
| Student > Bachelor | 36 | 8% |
| Other | 103 | 22% |
| Unknown | 76 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 107 | 23% |
| Agricultural and Biological Sciences | 100 | 22% |
| Biochemistry, Genetics and Molecular Biology | 76 | 16% |
| Computer Science | 20 | 4% |
| Business, Management and Accounting | 5 | 1% |
| Other | 51 | 11% |
| Unknown | 104 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 151. 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 01 October 2019.
All research outputs
#276,445
of 25,837,817 outputs
Outputs from Nature Genetics
#500
of 7,639 outputs
Outputs of similar age
#1,769
of 212,550 outputs
Outputs of similar age from Nature Genetics
#6
of 75 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 98th percentile: it's in the top 5% 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 done particularly well, scoring higher than 93% 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 212,550 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 99% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.