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Mendeley readers
| Title |
Identification of transcription factor contexts in literature using machine learning approaches
|
|---|---|
| Published in |
BMC Bioinformatics, April 2008
|
| DOI | 10.1186/1471-2105-9-s3-s11 |
| Pubmed ID | |
| Authors |
Hui Yang, Goran Nenadic, John A Keane |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 6% |
| United Kingdom | 1 | 3% |
| Portugal | 1 | 3% |
| Spain | 1 | 3% |
| Unknown | 28 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Doctoral Student | 4 | 12% |
| Student > Master | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Other | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 39% |
| Agricultural and Biological Sciences | 4 | 12% |
| Medicine and Dentistry | 3 | 9% |
| Linguistics | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 8 | 24% |