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A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Overview of attention for article published in Cancer Research, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
14 X users
facebook
2 Facebook pages

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
94 Mendeley
citeulike
1 CiteULike
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Title
A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
Published in
Cancer Research, September 2018
DOI 10.1158/0008-5472.can-18-0951
Pubmed ID
Authors

Yingchang Lu, Alicia Beeghly-Fadiel, Lang Wu, Xingyi Guo, Bingshan Li, Joellen M. Schildkraut, Hae Kyung Im, Yian A. Chen, Jennifer B. Permuth, Brett M. Reid, Jamie K. Teer, Kirsten B. Moysich, Irene L. Andrulis, Hoda Anton-Culver, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Javier Benitez, Line Bjorge, James Brenton, Ralf Butzow, Trinidad Caldes, Maria A. Caligo, Ian Campbell, Jenny Chang-Claude, Kathleen B.M. Claes, Fergus J. Couch, Daniel W. Cramer, Mary B. Daly, Anna deFazio, Joe Dennis, Orland Diez, Susan M. Domchek, Thilo Dörk, Douglas F. Easton, Diana M. Eccles, Peter A. Fasching, Renée T. Fortner, George Fountzilas, Eitan Friedman, Patricia A. Ganz, Judy Garber, Graham G. Giles, Andrew K. Godwin, David E. Goldgar, Marc T. Goodman, Mark H. Greene, Jacek Gronwald, Ute Hamann, Florian Heitz, Michelle A.T. Hildebrandt, Claus K. Høgdall, Antoinette Hollestelle, Peter J. Hulick, David G. Huntsman, Evgeny N. Imyanitov, Claudine Isaacs, Anna Jakubowska, Paul James, Beth Y. Karlan, Linda E. Kelemen, Lambertus A. Kiemeney, Susanne K. Kjaer, Ava Kwong, Nhu D. Le, Goska Leslie, Fabienne Lesueur, Douglas A. Levine, Amalia Mattiello, Taymaa May, Lesley McGuffog, Iain A. McNeish, Melissa A. Merritt, Francesmary Modugno, Marco Montagna, Susan L. Neuhausen, Heli Nevanlinna, Finn C. Nielsen, Liene Nikitina-Zake, Robert L. Nussbaum, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Sara H. Olson, Håkan Olsson, Ana Osorio, Sue K. Park, Michael T. Parsons, Petra H.M. Peeters, Tanja Pejovic, Paolo Peterlongo, Catherine M. Phelan, Miquel Angel Pujana, Susan J. Ramus, Gad Rennert, Harvey Risch, Gustavo C. Rodriguez, Cristina Rodríguez-Antona, Isabelle Romieu, Matti A. Rookus, Mary Anne Rossing, Iwona K. Rzepecka, Dale P. Sandler, Rita K. Schmutzler, Veronica W. Setiawan, Priyanka Sharma, Weiva Sieh, Jacques Simard, Christian F. Singer, Honglin Song, Melissa C. Southey, Amanda B. Spurdle, Rebecca Sutphen, Anthony J. Swerdlow, Manuel R. Teixeira, Soo H. Teo, Mads Thomassen, Marc Tischkowitz, Amanda E. Toland, Antonia Trichopoulou, Nadine Tung, Shelley S. Tworoger, Elizabeth J. van Rensburg, Adriaan Vanderstichele, Ana Vega, Digna Velez Edwards, Penelope M. Webb, Jeffrey N. Weitzel, Nicolas Wentzensen, Emily White, Alicja Wolk, Anna H. Wu, Drakoulis Yannoukakos, Kristin K. Zorn, Simon A. Gayther, Antonis C. Antoniou, Andrew Berchuck, Ellen L. Goode, 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 14 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Student > Ph. D. Student 12 13%
Student > Bachelor 9 10%
Professor 6 6%
Student > Master 5 5%
Other 12 13%
Unknown 34 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 23%
Medicine and Dentistry 18 19%
Agricultural and Biological Sciences 4 4%
Engineering 3 3%
Computer Science 3 3%
Other 9 10%
Unknown 35 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 October 2019.
All research outputs
#4,978,221
of 26,017,215 outputs
Outputs from Cancer Research
#4,682
of 19,037 outputs
Outputs of similar age
#89,501
of 351,492 outputs
Outputs of similar age from Cancer Research
#56
of 202 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 73% 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 351,492 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 73% of its contemporaries.
We're also able to compare this research output to 202 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 71% of its contemporaries.