| Title |
Getting Started in Text Mining: Part Two
|
|---|---|
| Published in |
PLoS Computational Biology, July 2009
|
| DOI | 10.1371/journal.pcbi.1000411 |
| Pubmed ID | |
| Authors |
Andrey Rzhetsky, Michael Seringhaus, Mark B. Gerstein |
Mendeley readers
The data shown below were compiled from readership statistics for 691 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 22 | 3% |
| United Kingdom | 13 | 2% |
| Spain | 5 | <1% |
| Mexico | 4 | <1% |
| India | 4 | <1% |
| Netherlands | 3 | <1% |
| Canada | 3 | <1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| Other | 16 | 2% |
| Unknown | 617 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 73 | 11% |
| Student > Ph. D. Student | 57 | 8% |
| Student > Master | 44 | 6% |
| Student > Bachelor | 24 | 3% |
| Professor > Associate Professor | 23 | 3% |
| Other | 85 | 12% |
| Unknown | 385 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 92 | 13% |
| Computer Science | 58 | 8% |
| Medicine and Dentistry | 34 | 5% |
| Social Sciences | 29 | 4% |
| Biochemistry, Genetics and Molecular Biology | 13 | 2% |
| Other | 74 | 11% |
| Unknown | 391 | 57% |