↓ Skip to main content

COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration

Overview of attention for article published in Breast Cancer Research, June 2013
Altmetric Badge

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
46 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration
Published in
Breast Cancer Research, June 2013
DOI 10.1186/bcr3434
Pubmed ID
Authors

COMPLEXO, Melissa C Southey, Daniel J Park, Tu Nguyen-Dumont, Ian Campbell, Ella Thompson, Alison H Trainer, Georgia Chenevix-Trench, Jacques Simard, Martine Dumont, Penny Soucy, Mads Thomassen, Lars Jønson, Inge S Pedersen, Thomas VO Hansen, Heli Nevanlinna, Sofia Khan, Olga Sinilnikova, Sylvie Mazoyer, Fabienne Lesueur, Francesca Damiola, Rita Schmutzler, Alfons Meindl, Eric Hahnen, Michael R Dufault, TL Chris Chan, Ava Kwong, Rosa Barkardóttir, Paolo Radice, Paolo Peterlongo, Peter Devilee, Florentine Hilbers, Javier Benitez, Anders Kvist, Therese Törngren, Douglas Easton, David Hunter, Sara Lindstrom, Peter Kraft, Wei Zheng, Yu-Tang Gao, Jirong Long, Susan Ramus, Bing-Jian Feng, Jeffrey N Weitzel, Katherine Nathanson, Kenneth Offit, Vijai Joseph, Mark Robson, Kasmintan Schrader, San Ming Wang, Yeong C Kim, Henry Lynch, Carrie Snyder, Sean Tavtigian, Susan Neuhausen, Fergus J Couch, David E Goldgar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
United States 1 2%
Canada 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 7 15%
Other 5 11%
Student > Bachelor 5 11%
Student > Ph. D. Student 4 9%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Agricultural and Biological Sciences 8 17%
Biochemistry, Genetics and Molecular Biology 7 15%
Nursing and Health Professions 2 4%
Unspecified 1 2%
Other 6 13%
Unknown 10 22%