| Title |
Knowledge discovery through chemical space networks: the case of organic electronics
|
|---|---|
| Published in |
Journal of Molecular Modeling, March 2019
|
| DOI | 10.1007/s00894-019-3950-6 |
| Pubmed ID | |
| Authors |
Christian Kunkel, Christoph Schober, Harald Oberhofer, Karsten Reuter |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 24% |
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 38% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 3 | 10% |
| Chemical Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 7 | 24% |