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Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas

Overview of attention for article published in Acta Neuropathologica, February 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas
Published in
Acta Neuropathologica, February 2012
DOI 10.1007/s00401-012-0958-8
Pubmed ID
Authors

Marcel Kool, Andrey Korshunov, Marc Remke, David T. W. Jones, Maria Schlanstein, Paul A. Northcott, Yoon-Jae Cho, Jan Koster, Antoinette Schouten-van Meeteren, Dannis van Vuurden, Steven C. Clifford, Torsten Pietsch, Andre O. von Bueren, Stefan Rutkowski, Martin McCabe, V. Peter Collins, Magnus L. Bäcklund, Christine Haberler, Franck Bourdeaut, Olivier Delattre, Francois Doz, David W. Ellison, Richard J. Gilbertson, Scott L. Pomeroy, Michael D. Taylor, Peter Lichter, Stefan M. Pfister

Abstract

Medulloblastoma is the most common malignant brain tumor in childhood. Molecular studies from several groups around the world demonstrated that medulloblastoma is not one disease but comprises a collection of distinct molecular subgroups. However, all these studies reported on different numbers of subgroups. The current consensus is that there are only four core subgroups, which should be termed WNT, SHH, Group 3 and Group 4. Based on this, we performed a meta-analysis of all molecular and clinical data of 550 medulloblastomas brought together from seven independent studies. All cases were analyzed by gene expression profiling and for most cases SNP or array-CGH data were available. Data are presented for all medulloblastomas together and for each subgroup separately. For validation purposes, we compared the results of this meta-analysis with another large medulloblastoma cohort (n = 402) for which subgroup information was obtained by immunohistochemistry. Results from both cohorts are highly similar and show how distinct the molecular subtypes are with respect to their transcriptome, DNA copy-number aberrations, demographics, and survival. Results from these analyses will form the basis for prospective multi-center studies and will have an impact on how the different subgroups of medulloblastoma will be treated in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 676 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Netherlands 2 <1%
France 2 <1%
Italy 2 <1%
Czechia 2 <1%
Brazil 1 <1%
Germany 1 <1%
Portugal 1 <1%
Mexico 1 <1%
Other 3 <1%
Unknown 655 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 98 14%
Student > Master 83 12%
Researcher 81 12%
Student > Bachelor 70 10%
Other 64 9%
Other 136 20%
Unknown 144 21%
Readers by discipline Count As %
Medicine and Dentistry 187 28%
Agricultural and Biological Sciences 120 18%
Biochemistry, Genetics and Molecular Biology 120 18%
Neuroscience 31 5%
Computer Science 10 1%
Other 47 7%
Unknown 161 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 November 2022.
All research outputs
#2,127,178
of 23,299,593 outputs
Outputs from Acta Neuropathologica
#507
of 2,392 outputs
Outputs of similar age
#12,775
of 157,592 outputs
Outputs of similar age from Acta Neuropathologica
#3
of 18 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 78% 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 157,592 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 91% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.