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Mendeley readers
| Title |
Learning to predict expression efficacy of vectors in recombinant protein production
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-s1-s21 |
| Pubmed ID | |
| Authors |
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Ueng-Cheng Yang, Wen-chang Lin, Chun-Nan Hsu |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 3% |
| Mexico | 2 | 3% |
| Korea, Republic of | 1 | 2% |
| Chile | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 53 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Researcher | 10 | 17% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 32% |
| Biochemistry, Genetics and Molecular Biology | 14 | 23% |
| Computer Science | 6 | 10% |
| Social Sciences | 3 | 5% |
| Materials Science | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 12 | 20% |