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Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk

Overview of attention for article published in Cancer Research, February 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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10 X users

Citations

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48 Dimensions

Readers on

mendeley
85 Mendeley
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1 CiteULike
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Title
Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk
Published in
Cancer Research, February 2019
DOI 10.1158/0008-5472.can-18-2726
Pubmed ID
Authors

Yaohua Yang, Lang Wu, Xiang Shu, Yingchang Lu, Xiao-Ou Shu, Qiuyin Cai, Alicia Beeghly-Fadiel, Bingshan Li, Fei Ye, Andrew Berchuck, Hoda Anton-Culver, Susana Banerjee, Javier Benitez, Line Bjørge, James D Brenton, Ralf Butzow, Ian G Campbell, Jenny Chang-Claude, Kexin Chen, Linda S Cook, Daniel W Cramer, Anna deFazio, Joe Dennis, Jennifer A Doherty, Thilo Dörk, Diana M Eccles, Digna Velez Edwards, Peter A Fasching, Renée T Fortner, Simon A Gayther, Graham G Giles, Rosalind M Glasspool, Ellen L Goode, Marc T Goodman, Jacek Gronwald, Holly R Harris, Florian Heitz, Michelle A Hildebrandt, Estrid Høgdall, Claus K Høgdall, David G Huntsman, Siddhartha P Kar, Beth Y Karlan, Linda E Kelemen, Lambertus A Kiemeney, Susanne K Kjaer, Anita Koushik, Diether Lambrechts, Nhu D Le, Douglas A Levine, Leon F Massuger, Keitaro Matsuo, Taymaa May, Iain A McNeish, Usha Menon, Francesmary Modugno, Alvaro N Monteiro, Patricia G Moorman, Kirsten B Moysich, Roberta B Ness, Heli Nevanlinna, Håkan Olsson, N Charlotte Onland-Moret, Sue K Park, James Paul, Celeste L Pearce, Tanja Pejovic, Catherine M Phelan, Malcolm C Pike, Susan J Ramus, Elio Riboli, Cristina Rodriguez-Antona, Isabelle Romieu, Dale P Sandler, Joellen M Schildkraut, Veronica W Setiawan, Kang Shan, Nadeem Siddiqui, Weiva Sieh, Meir J Stampfer, Rebecca Sutphen, Anthony J Swerdlow, Lukasz M Szafron, Soo Hwang Teo, Shelley S Tworoger, Jonathan P Tyrer, Penelope M Webb, Nicolas Wentzensen, Emily White, Walter C Willett, Alicja Wolk, Yin Ling Woo, Anna H Wu, Li Yan, Drakoulis Yannoukakos, Georgia Chenevix-Trench, Thomas A Sellers, Paul D P Pharoah, Wei Zheng, Jirong Long

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 12%
Student > Master 9 11%
Researcher 8 9%
Student > Bachelor 7 8%
Professor 5 6%
Other 13 15%
Unknown 33 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 20%
Medicine and Dentistry 14 16%
Agricultural and Biological Sciences 3 4%
Materials Science 3 4%
Unspecified 3 4%
Other 11 13%
Unknown 34 40%
Attention Score in Context

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 November 2019.
All research outputs
#7,304,457
of 26,017,215 outputs
Outputs from Cancer Research
#7,472
of 19,037 outputs
Outputs of similar age
#142,242
of 452,963 outputs
Outputs of similar age from Cancer Research
#56
of 218 outputs
Altmetric has tracked 26,017,215 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 19,037 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 60% 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 452,963 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 68% of its contemporaries.
We're also able to compare this research output to 218 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 74% of its contemporaries.