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Mendeley readers
| Title |
Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images
|
|---|---|
| Published in |
BMC Bioinformatics, July 2010
|
| DOI | 10.1186/1471-2105-11-373 |
| Pubmed ID | |
| Authors |
Yoshitaka Kimori, Norio Baba, Nobuhiro Morone |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| United Kingdom | 2 | 3% |
| Malaysia | 1 | 1% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Russia | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 57 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 28% |
| Researcher | 17 | 25% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Professor > Associate Professor | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 31% |
| Engineering | 12 | 18% |
| Computer Science | 9 | 13% |
| Physics and Astronomy | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Other | 5 | 7% |
| Unknown | 8 | 12% |