| Title |
Machine Learning Estimates of Natural Product Conformational Energies
|
|---|---|
| Published in |
PLoS Computational Biology, January 2014
|
| DOI | 10.1371/journal.pcbi.1003400 |
| Pubmed ID | |
| Authors |
Matthias Rupp, Matthias R. Bauer, Rainer Wilcken, Andreas Lange, Michael Reutlinger, Frank M. Boeckler, Gisbert Schneider |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| China | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 71 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 28% |
| Researcher | 16 | 21% |
| Student > Master | 9 | 12% |
| Professor | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 19 | 24% |
| Computer Science | 9 | 12% |
| Materials Science | 8 | 10% |
| Physics and Astronomy | 8 | 10% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 18 | 23% |
| Unknown | 12 | 15% |