| Title |
High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
|
|---|---|
| Published in |
PLOS ONE, March 2009
|
| DOI | 10.1371/journal.pone.0004761 |
| Pubmed ID | |
| Authors |
Diana Rigola, Jan van Oeveren, Antoine Janssen, Anita Bonné, Harrie Schneiders, Hein J. A. van der Poel, Nathalie J. van Orsouw, René C. J. Hogers, Michiel T. J. de Both, Michiel J. T. van Eijk |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 2% |
| Netherlands | 2 | 1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Argentina | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 153 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 36% |
| Student > Ph. D. Student | 22 | 13% |
| Professor > Associate Professor | 13 | 8% |
| Student > Master | 12 | 7% |
| Other | 11 | 7% |
| Other | 23 | 14% |
| Unknown | 24 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 108 | 66% |
| Biochemistry, Genetics and Molecular Biology | 20 | 12% |
| Medicine and Dentistry | 4 | 2% |
| Environmental Science | 2 | 1% |
| Engineering | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 23 | 14% |