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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
|
|---|---|
| Published in |
Acta Neuropathologica Communications, May 2017
|
| DOI | 10.1186/s40478-017-0443-7 |
| Pubmed ID | |
| Authors |
Patrick J. Cimino, Michael Zager, Lisa McFerrin, Hans-Georg Wirsching, Hamid Bolouri, Bettina Hentschel, Andreas von Deimling, David Jones, Guido Reifenberger, Michael Weller, Eric C. Holland |
| Abstract |
Recent updating of the World Health Organization (WHO) classification of central nervous system (CNS) tumors in 2016 demonstrates the first organized effort to restructure brain tumor classification by incorporating histomorphologic features with recurrent molecular alterations. Revised CNS tumor diagnostic criteria also attempt to reduce interobserver variability of histological interpretation and provide more accurate stratification related to clinical outcome. As an example, diffuse gliomas (WHO grades II-IV) are now molecularly stratified based upon isocitrate dehydrogenase 1 or 2 (IDH) mutational status, with gliomas of WHO grades II and III being substratified according to 1p/19q codeletion status. For now, grading of diffuse gliomas is still dependent upon histological parameters. Independent of WHO classification criteria, multidimensional scaling analysis of molecular signatures for diffuse gliomas from The Cancer Genome Atlas (TCGA) has identified distinct molecular subgroups, and allows for their visualization in 2-dimensional (2D) space. Using the web-based platform Oncoscape as a tool, we applied multidimensional scaling-derived molecular groups to the 2D visualization of the 2016 WHO classification of diffuse gliomas. Here we show that molecular multidimensional scaling of TCGA data provides 2D clustering that represents the 2016 WHO classification of diffuse gliomas. Additionally, we used this platform to successfully identify and define novel copy-number alteration-based molecular subtypes, which are independent of WHO grading, as well as predictive of clinical outcome. The prognostic utility of these molecular subtypes was further validated using an independent data set of the German Glioma Network prospective glioblastoma patient cohort. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 13 | 45% |
| United Kingdom | 3 | 10% |
| Comoros | 1 | 3% |
| Australia | 1 | 3% |
| Ireland | 1 | 3% |
| Portugal | 1 | 3% |
| Unknown | 9 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 69% |
| Scientists | 9 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 15% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Postgraduate | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Other | 15 | 17% |
| Unknown | 30 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 26% |
| Neuroscience | 12 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Agricultural and Biological Sciences | 6 | 7% |
| Psychology | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 36 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 22 July 2018.
All research outputs
#1,596,841
of 25,732,188 outputs
Outputs from Acta Neuropathologica Communications
#130
of 1,593 outputs
Outputs of similar age
#30,018
of 328,290 outputs
Outputs of similar age from Acta Neuropathologica Communications
#2
of 27 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 91% of its peers.
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 328,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.