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Mendeley readers
| Title |
Immune gene expression profiling reveals heterogeneity in luminal breast tumors
|
|---|---|
| Published in |
Breast Cancer Research, December 2019
|
| DOI | 10.1186/s13058-019-1218-9 |
| Pubmed ID | |
| Authors |
Bin Zhu, Lap Ah Tse, Difei Wang, Hela Koka, Tongwu Zhang, Mustapha Abubakar, Priscilla Lee, Feng Wang, Cherry Wu, Koon Ho Tsang, Wing-cheong Chan, Sze Hong Law, Mengjie Li, Wentao Li, Suyang Wu, Zhiguang Liu, Bixia Huang, Han Zhang, Eric Tang, Zhengyan Kan, Soohyeon Lee, Yeon Hee Park, Seok Jin Nam, Mingyi Wang, Xuezheng Sun, Kristine Jones, Bin Zhu, Amy Hutchinson, Belynda Hicks, Ludmila Prokunina-Olsson, Jianxin Shi, Montserrat Garcia-Closas, Stephen Chanock, Xiaohong R. Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Master | 10 | 15% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 24 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Medicine and Dentistry | 7 | 11% |
| Agricultural and Biological Sciences | 5 | 8% |
| Computer Science | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 27 | 42% |