| Title |
Prediction of Molecular Targets of Cancer Preventing Flavonoid Compounds Using Computational Methods
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0038261 |
| Pubmed ID | |
| Authors |
Hanyong Chen, Ke Yao, Janos Nadas, Ann M. Bode, Margarita Malakhova, Naomi Oi, Haitao Li, Ronald A. Lubet, Zigang Dong |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 1% |
| Greece | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 73 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 10 | 13% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 29% |
| Chemistry | 10 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Medicine and Dentistry | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 20 | 26% |