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Mendeley readers
| Title |
Data structures and compression algorithms for high-throughput sequencing technologies
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-514 |
| Pubmed ID | |
| Authors |
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui Xie, Pierre Baldi |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 8% |
| Brazil | 5 | 4% |
| Germany | 4 | 3% |
| United Kingdom | 4 | 3% |
| Netherlands | 3 | 2% |
| China | 3 | 2% |
| France | 3 | 2% |
| Belgium | 2 | 2% |
| Sweden | 2 | 2% |
| Other | 7 | 5% |
| Unknown | 86 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 33% |
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 16 | 12% |
| Student > Bachelor | 9 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Other | 20 | 16% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 42% |
| Computer Science | 32 | 25% |
| Engineering | 11 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Medicine and Dentistry | 4 | 3% |
| Other | 15 | 12% |
| Unknown | 6 | 5% |