| Title |
Molecular Subtypes of Glioblastoma Are Relevant to Lower Grade Glioma
|
|---|---|
| Published in |
PLOS ONE, March 2014
|
| DOI | 10.1371/journal.pone.0091216 |
| Pubmed ID | |
| Authors |
Xiaowei Guan, Jaime Vengoechea, Siyuan Zheng, Andrew E. Sloan, Yanwen Chen, Daniel J. Brat, Brian Patrick O’Neill, John de Groot, Shlomit Yust-Katz, Wai-Kwan Alfred Yung, Mark L. Cohen, Kenneth D. Aldape, Steven Rosenfeld, Roeland G. W. Verhaak, Jill S. Barnholtz-Sloan |
| Abstract |
Gliomas are the most common primary malignant brain tumors in adults with great heterogeneity in histopathology and clinical course. The intent was to evaluate the relevance of known glioblastoma (GBM) expression and methylation based subtypes to grade II and III gliomas (ie. lower grade gliomas). |
X Demographics
The data shown below were collected from the profiles of 13 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 States | 6 | 46% |
| United Kingdom | 3 | 23% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Brazil | 2 | 2% |
| Nigeria | 1 | <1% |
| Ukraine | 1 | <1% |
| Unknown | 106 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 21% |
| Researcher | 22 | 20% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 10 | 9% |
| Other | 6 | 5% |
| Other | 21 | 19% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 22% |
| Medicine and Dentistry | 24 | 21% |
| Biochemistry, Genetics and Molecular Biology | 23 | 21% |
| Neuroscience | 7 | 6% |
| Engineering | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 17 | 15% |