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Mendeley readers
| Title |
The first step in the development of text mining technology for cancer risk assessment: identifying and organizing scientific evidence in risk assessment literature
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-303 |
| Pubmed ID | |
| Authors |
Anna Korhonen, Ilona Silins, Lin Sun, Ulla Stenius |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| France | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 13 | 19% |
| Student > Bachelor | 9 | 13% |
| Student > Doctoral Student | 5 | 7% |
| Other | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 26% |
| Agricultural and Biological Sciences | 12 | 17% |
| Medicine and Dentistry | 11 | 16% |
| Engineering | 4 | 6% |
| Linguistics | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 14 | 20% |