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Mendeley readers
| Title |
Automated nutrient screening system enables high-throughput optimisation of microalgae production conditions
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, April 2015
|
| DOI | 10.1186/s13068-015-0238-7 |
| Pubmed ID | |
| Authors |
Khairul Adzfa Radzun, Juliane Wolf, Gisela Jakob, Eugene Zhang, Evan Stephens, Ian Ross, Ben Hankamer |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| Australia | 1 | <1% |
| Indonesia | 1 | <1% |
| Czechia | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 120 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 24% |
| Student > Master | 29 | 23% |
| Researcher | 15 | 12% |
| Student > Bachelor | 13 | 10% |
| Student > Doctoral Student | 6 | 5% |
| Other | 10 | 8% |
| Unknown | 24 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 31% |
| Engineering | 14 | 11% |
| Biochemistry, Genetics and Molecular Biology | 10 | 8% |
| Chemical Engineering | 7 | 6% |
| Immunology and Microbiology | 5 | 4% |
| Other | 20 | 16% |
| Unknown | 31 | 24% |