| Title |
Web-Based Computational Chemistry Education with CHARMMing I: Lessons and Tutorial
|
|---|---|
| Published in |
PLoS Computational Biology, July 2014
|
| DOI | 10.1371/journal.pcbi.1003719 |
| Pubmed ID | |
| Authors |
Benjamin T. Miller, Rishi P. Singh, Vinushka Schalk, Yuri Pevzner, Jingjun Sun, Carrie S. Miller, Stefan Boresch, Toshiko Ichiye, Bernard R. Brooks, H. Lee Woodcock |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 17% |
| United States | 2 | 17% |
| India | 1 | 8% |
| Japan | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Chile | 1 | 1% |
| Hungary | 1 | 1% |
| Czechia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Ukraine | 1 | 1% |
| Canada | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Researcher | 16 | 19% |
| Professor > Associate Professor | 8 | 10% |
| Professor | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Other | 18 | 21% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 26 | 31% |
| Agricultural and Biological Sciences | 14 | 17% |
| Biochemistry, Genetics and Molecular Biology | 9 | 11% |
| Engineering | 6 | 7% |
| Physics and Astronomy | 4 | 5% |
| Other | 16 | 19% |
| Unknown | 9 | 11% |