The data shown below were collected from the profiles of 794 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
| Title |
Opportunities and obstacles for deep learning in biology and medicine
|
|---|---|
| Published in |
bioRxiv, May 2017
|
| DOI | 10.1101/142760 |
| Authors |
Travers Ching, Daniel S. Himmelstein, Brett K. Beaulieu-Jones, Alexandr A. Kalinin, Brian T., Gregory P. Way, Enrico Ferrero, Paul-Michael Agapow, Michael Zietz, Michael M. Hoffman, Wei Xie, Gail L. Rosen, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E. Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, Christopher A. Lavender, Srinivas C. Turaga, Amr M. Alexandari, Zhiyong Lu, David J. Harris, Dave DeCaprio, Yanjun Qi, Anshul Kundaje, Yifan Peng, Laura K. Wiley, Marwin H.S. Segler, Simina M. Boca, S. Joshua Swamidass, Austin Huang, Anthony Gitter, Casey S. Greene |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 175 | 22% |
| United Kingdom | 30 | 4% |
| Canada | 26 | 3% |
| Spain | 17 | 2% |
| India | 16 | 2% |
| Japan | 14 | 2% |
| Germany | 11 | 1% |
| Sweden | 11 | 1% |
| Switzerland | 10 | 1% |
| Other | 59 | 7% |
| Unknown | 425 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 460 | 58% |
| Scientists | 311 | 39% |
| Practitioners (doctors, other healthcare professionals) | 13 | 2% |
| Science communicators (journalists, bloggers, editors) | 6 | <1% |
| Unknown | 4 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Spain | 1 | <1% |
| Uruguay | 1 | <1% |
| Unknown | 1220 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 222 | 18% |
| Researcher | 203 | 17% |
| Student > Master | 117 | 10% |
| Student > Bachelor | 69 | 6% |
| Other | 54 | 4% |
| Other | 145 | 12% |
| Unknown | 418 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 240 | 20% |
| Biochemistry, Genetics and Molecular Biology | 144 | 12% |
| Agricultural and Biological Sciences | 141 | 11% |
| Engineering | 72 | 6% |
| Medicine and Dentistry | 46 | 4% |
| Other | 147 | 12% |
| Unknown | 438 | 36% |