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Mendeley readers
Title |
Finding disease candidate genes by liquid association
|
---|---|
Published in |
Genome Biology, October 2007
|
DOI | 10.1186/gb-2007-8-10-r205 |
Pubmed ID | |
Authors |
Ker-Chau Li, Aarno Palotie, Shinsheng Yuan, Denis Bronnikov, Daniel Chen, Xuelian Wei, Oi-Wa Choi, Janna Saarela, Leena Peltonen |
Abstract |
A novel approach to finding candidate genes by using gene expression data through liquid association is developed and used to identify multiple sclerosis susceptibility candidate genes. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 29% |
Researcher | 6 | 19% |
Student > Master | 5 | 16% |
Professor | 3 | 10% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 42% |
Biochemistry, Genetics and Molecular Biology | 5 | 16% |
Medicine and Dentistry | 3 | 10% |
Mathematics | 2 | 6% |
Computer Science | 1 | 3% |
Other | 2 | 6% |
Unknown | 5 | 16% |