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Genome-Wide Association Study of Prostate Cancer–Specific Survival

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
podcasts
1 podcast

Readers on

mendeley
95 Mendeley
citeulike
1 CiteULike
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Article details
Title
Genome-Wide Association Study of Prostate Cancer–Specific Survival
Published in
Cancer Epidemiology, Biomarkers & Prevention, November 2015
DOI 10.1158/1055-9965.epi-15-0543
Pubmed ID
Authors

Robert Szulkin, Robert Karlsson, Thomas Whitington, Markus Aly, Henrik Gronberg, Rosalind A. Eeles, Douglas F. Easton, Zsofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Melissa C. Southey, Liesel M. FitzGerald, Brian E. Henderson, Fredrick R. Schumacher, Christopher A. Haiman, Csilla Sipeky, Teuvo L.J. Tammela, Børge G. Nordestgaard, Timothy J. Key, Ruth C. Travis, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Paul D.P. Pharoah, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Christiane Maier, Walther Vogel, Manuel Luedeke, Kathleen Herkommer, Adam S. Kibel, Cezary Cybulski, Jan Lubiński, Wojciech Kluźniak, Lisa Cannon-Albright, Hermann Brenner, Volker Herrmann, Bernd Holleczek, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lim, Chavdar Slavov, Radka P. Kaneva, Vanio I. Mitev, Amanda Spurdle, Manuel R. Teixeira, Paula Paulo, Sofia Maia, Hardev Pandha, Agnieszka Michael, Andrzej Kierzek, on behalf of the PRACTICAL consortium, Jyotsna Batra, Judith A. Clements, on behalf of the Australian Prostate Cancer BioResource, Demetrius Albanes, Gerald L. Andriole, Sonja I. Berndt, Stephen Chanock, Susan M. Gapstur, Edward L. Giovannucci, David J. Hunter, Peter Kraft, Loic Le Marchand, Jing Ma, Alison M. Mondul, Kathryn L. Penney, Meir J. Stampfer, Victoria L. Stevens, Stephanie J. Weinstein, Antonia Trichopoulou, Bas H. Bueno-de-Mesquita, Anne Tjønneland, David G. Cox, on behalf of the BPC3 consortium, Lovise Maehle, Johanna Schleutker, Sara Lindström, Fredrik Wiklund

Abstract

Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. Top findings were assessed for replication in a Norwegian cohort (CONOR). We observed no significant association between genetic variants and prostate cancer survival. Common genetic variants with large impact on prostate cancer survival were not observed in this study. Future studies should be designed for identification of rare variants with large effect sizes or common variants with small effect sizes.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
United Kingdom 1 1%
Australia 1 1%
Unknown 92 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 15%
Student > Ph. D. Student 12 13%
Professor 11 12%
Other 8 8%
Lecturer 5 5%
Other 21 22%
Unknown 24 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 24 25%
Agricultural and Biological Sciences 12 13%
Biochemistry, Genetics and Molecular Biology 8 8%
Computer Science 8 8%
Business, Management and Accounting 3 3%
Other 10 11%
Unknown 30 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 August 2023.
All research outputs
#2,877,608
of 34,545,128 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#848
of 5,750 outputs
Outputs of similar age
#31,632
of 322,820 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#9
of 50 outputs
Altmetric has tracked 34,545,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has done well, scoring higher than 84% 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 322,820 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 90% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.