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Mendeley readers
| Title |
Automated extraction of chemical structure information from digital raster images
|
|---|---|
| Published by |
Springer Nature, February 2009
|
| DOI | 10.1186/1752-153x-3-4 |
| Pubmed ID | |
| Authors |
Jungkap Park, Gus R Rosania, Kerby A Shedden, Mandee Nguyen, Naesung Lyu, Kazuhiro Saitou |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Netherlands | 1 | 2% |
| Italy | 1 | 2% |
| Austria | 1 | 2% |
| Kenya | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 54 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 26% |
| Researcher | 16 | 26% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Other | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 15 | 24% |
| Computer Science | 12 | 19% |
| Agricultural and Biological Sciences | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 14 | 23% |