| Title |
Genome-Scale Discovery of DNA-Methylation Biomarkers for Blood-Based Detection of Colorectal Cancer
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050266 |
| Pubmed ID | |
| Authors |
Christopher P. E. Lange, Mihaela Campan, Toshinori Hinoue, Roderick F. Schmitz, Andrea E. van der Meulen-de Jong, Hilde Slingerland, Peter J. M. J. Kok, Cornelis M. van Dijk, Daniel J. Weisenberger, Hui Shen, Robertus A. E. M. Tollenaar, Peter W. Laird |
| Abstract |
There is an increasing demand for accurate biomarkers for early non-invasive colorectal cancer detection. We employed a genome-scale marker discovery method to identify and verify candidate DNA methylation biomarkers for blood-based detection of colorectal cancer. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Peru | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Brazil | 1 | <1% |
| Uruguay | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 111 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 23% |
| Student > Ph. D. Student | 23 | 19% |
| Student > Master | 19 | 16% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 17 | 14% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 28% |
| Medicine and Dentistry | 30 | 25% |
| Biochemistry, Genetics and Molecular Biology | 25 | 21% |
| Computer Science | 5 | 4% |
| Engineering | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 18 | 15% |