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Mendeley readers
| Title |
ASPIC: a novel method to predict the exon-intron structure of a gene that is optimally compatible to a set of transcript sequences
|
|---|---|
| Published in |
BMC Bioinformatics, October 2005
|
| DOI | 10.1186/1471-2105-6-244 |
| Pubmed ID | |
| Authors |
Paola Bonizzoni, Raffaella Rizzi, Graziano Pesole |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 5% |
| France | 2 | 5% |
| Hong Kong | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 33 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 31% |
| Student > Ph. D. Student | 8 | 21% |
| Professor > Associate Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 49% |
| Computer Science | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Mathematics | 2 | 5% |
| Psychology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 2 | 5% |