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Mendeley readers
Title |
Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry
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Published in |
Breast Cancer Research, December 2016
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DOI | 10.1186/s13058-016-0786-1 |
Pubmed ID | |
Authors |
Wanqing Wen, Xiao-ou Shu, Xingyi Guo, Qiuyin Cai, Jirong Long, Manjeet K. Bolla, Kyriaki Michailidou, Joe Dennis, Qin Wang, Yu-Tang Gao, Ying Zheng, Alison M. Dunning, Montserrat García-Closas, Paul Brennan, Shou-Tung Chen, Ji-Yeob Choi, Mikael Hartman, Hidemi Ito, Artitaya Lophatananon, Keitaro Matsuo, Hui Miao, Kenneth Muir, Suleeporn Sangrajrang, Chen-Yang Shen, Soo H. Teo, Chiu-chen Tseng, Anna H. Wu, Cheng Har Yip, Jacques Simard, Paul D. P. Pharoah, Per Hall, Daehee Kang, Yongbing Xiang, Douglas F. Easton, Wei Zheng |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 83 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 19% |
Student > Master | 12 | 14% |
Student > Ph. D. Student | 9 | 11% |
Student > Bachelor | 5 | 6% |
Other | 5 | 6% |
Other | 11 | 13% |
Unknown | 25 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 18% |
Biochemistry, Genetics and Molecular Biology | 12 | 14% |
Agricultural and Biological Sciences | 9 | 11% |
Nursing and Health Professions | 2 | 2% |
Computer Science | 2 | 2% |
Other | 11 | 13% |
Unknown | 32 | 39% |