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Mendeley readers
| Title |
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining
|
|---|---|
| Published in |
BMC Bioinformatics, June 2009
|
| DOI | 10.1186/1471-2105-10-s6-s25 |
| Pubmed ID | |
| Authors |
Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 14 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 44% |
| Student > Master | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 50% |
| Immunology and Microbiology | 2 | 13% |
| Computer Science | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 3 | 19% |