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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evidence of a genetic link between endometriosis and ovarian cancer
|
|---|---|
| Published in |
Fertility & Sterility, October 2015
|
| DOI | 10.1016/j.fertnstert.2015.09.023 |
| Pubmed ID | |
| Authors |
Alice W. Lee, Claire Templeman, Douglas A. Stram, Jonathan Beesley, Jonathan Tyrer, Andrew Berchuck, Paul P. Pharoah, Georgia Chenevix-Trench, Celeste Leigh Pearce, Ovarian Cancer Association Consortium, Roberta B. Ness, Agnieszka Dansonka-Mieszkowska, Aleksandra Gentry-Maharaj, Alexander Hein, Alice S. Whittemore, Allan Jensen, Andreas du Bois, Angela Brooks-Wilson, Anja Rudolph, Anna Jakubowska, Anna H. Wu, Argyrios Ziogas, Arif B. Ekici, Arto Leminen, Australian Cancer Study, Australian Ovarian Cancer Study Group, Barry Rosen, Beata Spiewankiewicz, Beth Y. Karlan, Britton Trabert, Brooke L. Fridley, C. Blake Gilks, Camilla Krakstad, Catherine M. Phelan, Cezary Cybulski, Christine Walsh, Claus Hogdall, Daniel W. Cramer, David G. Huntsman, Diana Eccles, Diether Lambrechts, Dong Liang, Douglas A. Levine, Edwin S. Iversen, Elisa V. Bandera, Elizabeth M. Poole, Ellen L. Goode, Els Van Nieuwenhuysen, Estrid Hogdall, Fiona Bruinsma, Florian Heitz, Francesmary Modugno, Graham G. Giles, Harvey A. Risch, Helen Baker, Helga B. Salvesen, Heli Nevanlinna, Hoda Anton-Culver, Honglin Song, Iain McNeish, Ian G. Campbell, Ignace Vergote, Ingo B. Runnebaum, Ingvild L. Tangen, Ira Schwaab, Jacek Gronwald, James Paul, Jan Lubinski, Jennifer A. Doherty, Jenny Chang-Claude, Jenny Lester, Joellen M. Schildkraut, John R. McLaughlin, Jolanta Lissowska, Jolanta Kupryjanczyk, Jonathan Tyrer, Joseph L. Kelley, Joseph H. Rothstein, Julie M. Cunningham, Karen Lu, Karen Carty, Kathryn L. Terry, Katja K.H. Aben, Kirsten B. Moysich, Kristine G. Wicklund, Kunle Odunsi, Lambertus A. Kiemeney, Lara Sucheston-Campbell, Lene Lundvall, Leon F.A.G. Massuger, Liisa M. Pelttari, Linda E. Kelemen, Linda S. Cook, Line Bjorge, Lotte Nedergaard, Louise A. Brinton, Lynne R. Wilkens, Malcolm C. Pike, Marc T. Goodman, Maria Bisogna, Mary Anne Rossing, Matthias W. Beckmann, Matthias Dürst, Melissa C. Southey, Melissa Kellar, Michelle A.T. Hildebrandt, Nadeem Siddiqui, Natalia Antonenkova, Natalia Bogdanova, Nhu D. Le, Nicolas Wentzensen, Pamela J. Thompson, Patricia Harrington, Penelope M. Webb, Peter A. Fasching, Peter Hillemanns, Philipp Harter, Piotr Sobiczewski, Rachel Palmieri Weber, Ralf Butzow, Robert P. Edwards, Robert A. Vierkant, Rosalind Glasspool, Sandra Orsulic, Sandrina Lambrechts, Sara H. Olson, Shan Wang-Gohrke, Shashi Lele, Shelley S. Tworoger, Simon A. Gayther, Stacey A. Missmer, Steven A. Narod, Susan J. Ramus, Susanne K. Kjaer, Tanja Pejovic, Thilo Dörk, Ursula Eilber, Usha Menon, Valerie McGuire, Weiva Sieh, Xifeng Wu, Yukie Bean, Yurii B. Shvetsov |
| Abstract |
To evaluate whether endometriosis-associated genetic variation affects risk of ovarian cancer. Pooled genetic analysis. University hospital. Genetic data from 46,176 participants (15,361 ovarian cancer cases and 30,815 controls) from 41 ovarian cancer studies. None. Endometriosis-associated genetic variation and ovarian cancer. There was significant evidence of an association between endometriosis-related genetic variation and ovarian cancer risk, especially for the high-grade serous and clear cell histotypes. Overall we observed 15 significant burden statistics, which was three times more than expected. By focusing on candidate regions from a phenotype associated with ovarian cancer, we have shown a clear genetic link between endometriosis and ovarian cancer that warrants further follow-up. The functional significance of the identified regions and SNPs is presently uncertain, though future fine mapping and histotype-specific functional analyses may shed light on the etiologies of both gynecologic conditions. |
X Demographics
The data shown below were collected from the profiles of 8 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 States | 2 | 25% |
| Japan | 1 | 13% |
| India | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 178 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 43 | 24% |
| Researcher | 23 | 13% |
| Other | 17 | 9% |
| Professor | 14 | 8% |
| Librarian | 14 | 8% |
| Other | 49 | 27% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 30% |
| Biochemistry, Genetics and Molecular Biology | 24 | 13% |
| Nursing and Health Professions | 13 | 7% |
| Agricultural and Biological Sciences | 13 | 7% |
| Social Sciences | 11 | 6% |
| Other | 41 | 23% |
| Unknown | 26 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 December 2015.
All research outputs
#7,333,477
of 25,728,855 outputs
Outputs from Fertility & Sterility
#3,157
of 9,429 outputs
Outputs of similar age
#84,031
of 295,642 outputs
Outputs of similar age from Fertility & Sterility
#45
of 131 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 9,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 66% 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 295,642 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 131 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 64% of its contemporaries.