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Mendeley readers
| Title |
Prediction of novel drug indications using network driven biological data prioritization and integration
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2014
|
| DOI | 10.1186/1758-2946-6-1 |
| Pubmed ID | |
| Authors |
Ala Qabaja, Mohammed Alshalalfa, Eisa Alanazi, Reda Alhajj |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| Spain | 1 | 2% |
| Slovenia | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 43 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 21% |
| Student > Ph. D. Student | 9 | 19% |
| Other | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 7 | 15% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 19% |
| Biochemistry, Genetics and Molecular Biology | 9 | 19% |
| Computer Science | 6 | 13% |
| Medicine and Dentistry | 5 | 10% |
| Chemistry | 4 | 8% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |