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Mendeley readers
| Title |
WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2010
|
| DOI | 10.1186/1758-2946-2-6 |
| Pubmed ID | |
| Authors |
Qian Zhu, Michael S Lajiness, Ying Ding, David J Wild |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 23% |
| United Kingdom | 3 | 23% |
| United States | 2 | 15% |
| Bulgaria | 1 | 8% |
| Cameroon | 1 | 8% |
| Indonesia | 1 | 8% |
| India | 1 | 8% |
| Netherlands | 1 | 8% |
| Japan | 1 | 8% |
| Other | 1 | 8% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 185% |
| Student > Ph. D. Student | 15 | 115% |
| Other | 7 | 54% |
| Student > Bachelor | 5 | 38% |
| Professor | 4 | 31% |
| Other | 12 | 92% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 131% |
| Agricultural and Biological Sciences | 17 | 131% |
| Chemistry | 13 | 100% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 38% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Other | 9 | 69% |