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Mendeley readers
| Title |
A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related
|
|---|---|
| Published in |
BMC Genomics, January 2011
|
| DOI | 10.1186/1471-2164-12-27 |
| Pubmed ID | |
| Authors |
Alex A Freitas, Olga Vasieva, João Pedro de Magalhães |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 5% |
| France | 2 | 2% |
| Brazil | 2 | 2% |
| United States | 2 | 2% |
| Czechia | 1 | 1% |
| Switzerland | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Iceland | 1 | 1% |
| Unknown | 72 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 26% |
| Student > Ph. D. Student | 20 | 23% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Professor | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 33% |
| Computer Science | 21 | 24% |
| Biochemistry, Genetics and Molecular Biology | 20 | 23% |
| Medicine and Dentistry | 4 | 5% |
| Psychology | 3 | 3% |
| Other | 1 | 1% |
| Unknown | 9 | 10% |