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Mendeley readers
| Title |
SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides
|
|---|---|
| Published in |
BMC Bioinformatics, December 2014
|
| DOI | 10.1186/1471-2105-15-s16-s4 |
| Pubmed ID | |
| Authors |
Yi-Fan Liou, Phasit Charoenkwan, Yerukala Sathipati Srinivasulu, Tamara Vasylenko, Shih-Chung Lai, Hua-Chin Lee, Yi-Hsiung Chen, Hui-Ling Huang, Shinn-Ying Ho |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Student > Bachelor | 6 | 18% |
| Researcher | 5 | 15% |
| Student > Master | 2 | 6% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 32% |
| Computer Science | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 29% |