You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
A novel SNP analysis method to detect copy number alterations with an unbiased reference signal directly from tumor samples
|
|---|---|
| Published in |
BMC Medical Genomics, January 2011
|
| DOI | 10.1186/1755-8794-4-14 |
| Pubmed ID | |
| Authors |
Alex Lisovich, Uma R Chandran, Maureen A Lyons-Weiler, William A LaFramboise, Ashley R Brown, Regina I Jakacki, Ian F Pollack, Robert W Sobol |
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 % |
|---|---|---|
| France | 2 | 6% |
| United States | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 29 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 33% |
| Student > Ph. D. Student | 7 | 21% |
| Student > Bachelor | 4 | 12% |
| Student > Master | 4 | 12% |
| Professor > Associate Professor | 3 | 9% |
| Other | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 52% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Computer Science | 4 | 12% |
| Medicine and Dentistry | 4 | 12% |
| Engineering | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 1 | 3% |