| Title |
MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status
|
|---|---|
| Published in |
Acta Neuropathologica, July 2012
|
| DOI | 10.1007/s00401-012-1016-2 |
| Pubmed ID | |
| Authors |
Pierre Bady, Davide Sciuscio, Annie-Claire Diserens, Jocelyne Bloch, Martin J. van den Bent, Christine Marosi, Pierre-Yves Dietrich, Michael Weller, Luigi Mariani, Frank L. Heppner, David R. Mcdonald, Denis Lacombe, Roger Stupp, Mauro Delorenzi, Monika E. Hegi |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Switzerland | 1 | <1% |
| Indonesia | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 175 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 23% |
| Student > Ph. D. Student | 28 | 15% |
| Student > Doctoral Student | 18 | 10% |
| Student > Master | 17 | 9% |
| Student > Bachelor | 16 | 9% |
| Other | 31 | 17% |
| Unknown | 32 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 29% |
| Agricultural and Biological Sciences | 32 | 17% |
| Biochemistry, Genetics and Molecular Biology | 25 | 14% |
| Neuroscience | 10 | 5% |
| Immunology and Microbiology | 4 | 2% |
| Other | 21 | 11% |
| Unknown | 38 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2020.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Acta Neuropathologica
#1,585
of 2,606 outputs
Outputs of similar age
#64,006
of 182,163 outputs
Outputs of similar age from Acta Neuropathologica
#13
of 27 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 182,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.