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Mendeley readers
| Title |
SNP HiTLink: a high-throughput linkage analysis system employing dense SNP data
|
|---|---|
| Published in |
BMC Bioinformatics, April 2009
|
| DOI | 10.1186/1471-2105-10-121 |
| Pubmed ID | |
| Authors |
Yoko Fukuda, Yasuo Nakahara, Hidetoshi Date, Yuji Takahashi, Jun Goto, Akinori Miyashita, Ryozo Kuwano, Hiroki Adachi, Eiji Nakamura, Shoji Tsuji |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 3% |
| United Kingdom | 1 | 3% |
| New Zealand | 1 | 3% |
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 28 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 33% |
| Professor > Associate Professor | 6 | 18% |
| Student > Doctoral Student | 3 | 9% |
| Professor | 3 | 9% |
| Other | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 33% |
| Medicine and Dentistry | 10 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Neuroscience | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 1 | 3% |