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Mendeley readers
| Title |
Building a biomedical tokenizer using the token lattice design pattern and the adapted Viterbi algorithm
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-s3-s1 |
| Pubmed ID | |
| Authors |
Neil Barrett, Jens Weber-Jahnke |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 14% |
| Student > Postgraduate | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Ph. D. Student | 5 | 10% |
| Researcher | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 14 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 26% |
| Medicine and Dentistry | 5 | 10% |
| Engineering | 4 | 8% |
| Psychology | 4 | 8% |
| Neuroscience | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 14 | 28% |