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Mendeley readers
Attention Score in Context
| Title |
Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, May 2013
|
| DOI | 10.1158/1055-9965.epi-13-0028 |
| Pubmed ID | |
| Authors |
Kristin L. White, Robert A. Vierkant, Zachary C. Fogarty, Bridget Charbonneau, Matthew S. Block, Paul D.P. Pharoah, Georgia Chenevix-Trench, for AOCS/ACS group;, Mary Anne Rossing, Daniel W. Cramer, Celeste Leigh Pearce, Joellen M. Schildkraut, Usha Menon, Susanne Kruger Kjaer, Douglas A. Levine, Jacek Gronwald, Hoda Anton Culver, Alice S. Whittemore, Beth Y. Karlan, Diether Lambrechts, Nicolas Wentzensen, Jolanta Kupryjanczyk, Jenny Chang-Claude, Elisa V. Bandera, Estrid Hogdall, Florian Heitz, Stanley B. Kaye, Peter A. Fasching, Ian Campbell, Marc T. Goodman, Tanja Pejovic, Yukie Bean, Galina Lurie, Diana Eccles, Alexander Hein, Matthias W. Beckmann, Arif B. Ekici, James Paul, Robert Brown, James M. Flanagan, Philipp Harter, Andreas du Bois, Ira Schwaab, Claus K. Hogdall, Lene Lundvall, Sara H. Olson, Irene Orlow, Lisa E. Paddock, Anja Rudolph, Ursula Eilber, Agnieszka Dansonka-Mieszkowska, Iwona K. Rzepecka, Izabela Ziolkowska-Seta, Louise Brinton, Hannah Yang, Montserrat Garcia-Closas, Evelyn Despierre, Sandrina Lambrechts, Ignace Vergote, Christine Walsh, Jenny Lester, Weiva Sieh, Valerie McGuire, Joseph H. Rothstein, Argyrios Ziogas, Jan Lubiński, Cezary Cybulski, Janusz Menkiszak, Allan Jensen, Simon A. Gayther, Susan J. Ramus, Aleksandra Gentry-Maharaj, Andrew Berchuck, Anna H. Wu, Malcolm C. Pike, David Van DenBerg, Kathryn L. Terry, Allison F. Vitonis, Jennifer A. Doherty, Sharon E. Johnatty, Anna deFazio, Honglin Song, Jonathan Tyrer, Thomas A. Sellers, Catherine M. Phelan, Kimberly R. Kalli, Julie M. Cunningham, Brooke L. Fridley, Ellen L. Goode |
| Abstract |
Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Other | 7 | 15% |
| Professor | 5 | 11% |
| Professor > Associate Professor | 3 | 6% |
| Librarian | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 23% |
| Medicine and Dentistry | 11 | 23% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Mathematics | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 04 April 2013.
All research outputs
#1,553,540
of 25,411,814 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#486
of 4,852 outputs
Outputs of similar age
#12,383
of 204,918 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#17
of 61 outputs
Altmetric has tracked 25,411,814 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 4,852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done well, scoring higher than 89% 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 204,918 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 93% of its contemporaries.
We're also able to compare this research output to 61 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 72% of its contemporaries.