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Mendeley readers
| Title |
TIde: a software for the systematic scanning of drug targets in kinetic network models
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-344 |
| Pubmed ID | |
| Authors |
Marvin Schulz, Barbara M Bakker, Edda Klipp |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 6% |
| Mexico | 1 | 2% |
| Latvia | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 41 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 26% |
| Researcher | 11 | 23% |
| Professor | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 55% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Computer Science | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 5 | 11% |