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Mendeley readers
| Title |
Natural computation meta-heuristics for the in silico optimization of microbial strains
|
|---|---|
| Published in |
BMC Bioinformatics, November 2008
|
| DOI | 10.1186/1471-2105-9-499 |
| Pubmed ID | |
| Authors |
Miguel Rocha, Paulo Maia, Rui Mendes, José P Pinto, Eugénio C Ferreira, Jens Nielsen, Kiran Raosaheb Patil, Isabel Rocha |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 3 | 2% |
| United Kingdom | 2 | 1% |
| France | 2 | 1% |
| Iran, Islamic Republic of | 2 | 1% |
| India | 2 | 1% |
| Germany | 1 | <1% |
| Latvia | 1 | <1% |
| Hungary | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 145 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 22% |
| Researcher | 35 | 22% |
| Student > Ph. D. Student | 34 | 21% |
| Student > Bachelor | 11 | 7% |
| Professor > Associate Professor | 10 | 6% |
| Other | 24 | 15% |
| Unknown | 11 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 39% |
| Computer Science | 25 | 16% |
| Biochemistry, Genetics and Molecular Biology | 20 | 12% |
| Engineering | 13 | 8% |
| Chemical Engineering | 11 | 7% |
| Other | 14 | 9% |
| Unknown | 15 | 9% |