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Mendeley readers
| Title |
ProMiner: rule-based protein and gene entity recognition
|
|---|---|
| Published in |
BMC Bioinformatics, May 2005
|
| DOI | 10.1186/1471-2105-6-s1-s14 |
| Pubmed ID | |
| Authors |
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevissen, Ralf Zimmer, Juliane Fluck |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 3% |
| United States | 5 | 3% |
| Portugal | 2 | 1% |
| France | 2 | 1% |
| Italy | 2 | 1% |
| Spain | 2 | 1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 137 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 24% |
| Student > Master | 29 | 18% |
| Researcher | 26 | 16% |
| Other | 11 | 7% |
| Student > Bachelor | 7 | 4% |
| Other | 24 | 15% |
| Unknown | 26 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 41% |
| Agricultural and Biological Sciences | 39 | 24% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Engineering | 5 | 3% |
| Chemistry | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 28 | 17% |