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Novel mutations target distinct subgroups of medulloblastoma

Overview of attention for article published in Nature, June 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
25 X users
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2 patents
wikipedia
1 Wikipedia page
f1000
1 research highlight platform

Citations

dimensions_citation
728 Dimensions

Readers on

mendeley
647 Mendeley
citeulike
9 CiteULike
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Title
Novel mutations target distinct subgroups of medulloblastoma
Published in
Nature, June 2012
DOI 10.1038/nature11213
Pubmed ID
Authors

Giles Robinson, Matthew Parker, Tanya A. Kranenburg, Charles Lu, Xiang Chen, Li Ding, Timothy N. Phoenix, Erin Hedlund, Lei Wei, Xiaoyan Zhu, Nader Chalhoub, Suzanne J. Baker, Robert Huether, Richard Kriwacki, Natasha Curley, Radhika Thiruvenkatam, Jianmin Wang, Gang Wu, Michael Rusch, Xin Hong, Jared Becksfort, Pankaj Gupta, Jing Ma, John Easton, Bhavin Vadodaria, Arzu Onar-Thomas, Tong Lin, Shaoyi Li, Stanley Pounds, Steven Paugh, David Zhao, Daisuke Kawauchi, Martine F. Roussel, David Finkelstein, David W. Ellison, Ching C. Lau, Eric Bouffet, Tim Hassall, Sridharan Gururangan, Richard Cohn, Robert S. Fulton, Lucinda L. Fulton, David J. Dooling, Kerri Ochoa, Amar Gajjar, Elaine R. Mardis, Richard K. Wilson, James R. Downing, Jinghui Zhang, Richard J. Gilbertson

Abstract

Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. Here, to identify mutations that drive medulloblastoma, we sequenced the entire genomes of 37 tumours and matched normal blood. One-hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma; several target distinct components of the epigenetic machinery in different disease subgroups, such as regulators of H3K27 and H3K4 trimethylation in subgroups 3 and 4 (for example, KDM6A and ZMYM3), and CTNNB1-associated chromatin re-modellers in WNT-subgroup tumours (for example, SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours identified genes that maintain this cell lineage (DDX3X), as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumorigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 647 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 2%
France 4 <1%
United Kingdom 4 <1%
Canada 3 <1%
Spain 3 <1%
Germany 3 <1%
Netherlands 2 <1%
China 2 <1%
Czechia 1 <1%
Other 10 2%
Unknown 600 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 149 23%
Student > Ph. D. Student 131 20%
Student > Bachelor 57 9%
Student > Master 47 7%
Other 45 7%
Other 120 19%
Unknown 98 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 210 32%
Biochemistry, Genetics and Molecular Biology 152 23%
Medicine and Dentistry 121 19%
Neuroscience 14 2%
Computer Science 8 1%
Other 36 6%
Unknown 106 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 08 June 2023.
All research outputs
#836,059
of 24,938,276 outputs
Outputs from Nature
#29,173
of 96,249 outputs
Outputs of similar age
#4,171
of 168,955 outputs
Outputs of similar age from Nature
#371
of 954 outputs
Altmetric has tracked 24,938,276 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 96,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.0. This one has gotten more attention than average, scoring higher than 69% 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 168,955 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 97% of its contemporaries.
We're also able to compare this research output to 954 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.