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Mendeley readers
| Title |
High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformatics
|
|---|---|
| Published in |
BMC Genomics, July 2009
|
| DOI | 10.1186/1471-2164-10-s1-i1 |
| Pubmed ID | |
| Authors |
Mary Qu Yang, Brian D Athey, Hamid R Arabnia, Andrew H Sung, Qingzhong Liu, Jack Y Yang, Jinghe Mao, Youping Deng |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| France | 2 | 2% |
| United States | 2 | 2% |
| Malaysia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Czechia | 1 | <1% |
| Argentina | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 99 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 25% |
| Student > Ph. D. Student | 24 | 22% |
| Student > Master | 13 | 12% |
| Professor | 8 | 7% |
| Professor > Associate Professor | 7 | 6% |
| Other | 21 | 19% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 45% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Medicine and Dentistry | 13 | 12% |
| Computer Science | 6 | 5% |
| Engineering | 4 | 4% |
| Other | 8 | 7% |
| Unknown | 12 | 11% |