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Mendeley readers
| Title |
SPIEDw: a searchable platform-independent expression database web tool
|
|---|---|
| Published in |
BMC Genomics, November 2013
|
| DOI | 10.1186/1471-2164-14-765 |
| Pubmed ID | |
| Authors |
Gareth Williams |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Hungary | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Bachelor | 9 | 16% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Postgraduate | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Agricultural and Biological Sciences | 11 | 19% |
| Medicine and Dentistry | 5 | 9% |
| Computer Science | 5 | 9% |
| Neuroscience | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 12 | 21% |