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The whole-genome landscape of medulloblastoma subtypes

Overview of attention for article published in Nature, July 2017
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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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
14 news outlets
blogs
1 blog
twitter
181 tweeters
patent
1 patent
facebook
9 Facebook pages
googleplus
4 Google+ users

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
514 Mendeley
citeulike
5 CiteULike
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Title
The whole-genome landscape of medulloblastoma subtypes
Published in
Nature, July 2017
DOI 10.1038/nature22973
Pubmed ID
Authors

Paul A. Northcott, Ivo Buchhalter, A. Sorana Morrissy, Volker Hovestadt, Joachim Weischenfeldt, Tobias Ehrenberger, Susanne Gröbner, Maia Segura-Wang, Thomas Zichner, Vasilisa A. Rudneva, Hans-Jörg Warnatz, Nikos Sidiropoulos, Aaron H. Phillips, Steven Schumacher, Kortine Kleinheinz, Sebastian M. Waszak, Serap Erkek, David T. W. Jones, Barbara C. Worst, Marcel Kool, Marc Zapatka, Natalie Jäger, Lukas Chavez, Barbara Hutter, Matthias Bieg, Nagarajan Paramasivam, Michael Heinold, Zuguang Gu, Naveed Ishaque, Christina Jäger-Schmidt, Charles D. Imbusch, Alke Jugold, Daniel Hübschmann, Thomas Risch, Vyacheslav Amstislavskiy, Francisco German Rodriguez Gonzalez, Ursula D. Weber, Stephan Wolf, Giles W. Robinson, Xin Zhou, Gang Wu, David Finkelstein, Yanling Liu, Florence M. G. Cavalli, Betty Luu, Vijay Ramaswamy, Xiaochong Wu, Jan Koster, Marina Ryzhova, Yoon-Jae Cho, Scott L. Pomeroy, Christel Herold-Mende, Martin Schuhmann, Martin Ebinger, Linda M. Liau, Jaume Mora, Roger E. McLendon, Nada Jabado, Toshihiro Kumabe, Eric Chuah, Yussanne Ma, Richard A. Moore, Andrew J. Mungall, Karen L. Mungall, Nina Thiessen, Kane Tse, Tina Wong, Steven J. M. Jones, Olaf Witt, Till Milde, Andreas Von Deimling, David Capper, Andrey Korshunov, Marie-Laure Yaspo, Richard Kriwacki, Amar Gajjar, Jinghui Zhang, Rameen Beroukhim, Ernest Fraenkel, Jan O. Korbel, Benedikt Brors, Matthias Schlesner, Roland Eils, Marco A. Marra, Stefan M. Pfister, Michael D. Taylor, Peter Lichter

Abstract

Current therapies for medulloblastoma, a highly malignant childhood brain tumour, impose debilitating effects on the developing child, and highlight the need for molecularly targeted treatments with reduced toxicity. Previous studies have been unable to identify the full spectrum of driver genes and molecular processes that operate in medulloblastoma subgroups. Here we analyse the somatic landscape across 491 sequenced medulloblastoma samples and the molecular heterogeneity among 1,256 epigenetically analysed cases, and identify subgroup-specific driver alterations that include previously undiscovered actionable targets. Driver mutations were confidently assigned to most patients belonging to Group 3 and Group 4 medulloblastoma subgroups, greatly enhancing previous knowledge. New molecular subtypes were differentially enriched for specific driver events, including hotspot in-frame insertions that target KBTBD4 and 'enhancer hijacking' events that activate PRDM6. Thus, the application of integrative genomics to an extensive cohort of clinical samples derived from a single childhood cancer entity revealed a series of cancer genes and biologically relevant subtype diversity that represent attractive therapeutic targets for the treatment of patients with medulloblastoma.

Twitter Demographics

The data shown below were collected from the profiles of 181 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 514 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 514 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 113 22%
Researcher 103 20%
Student > Master 63 12%
Student > Bachelor 46 9%
Other 38 7%
Other 83 16%
Unknown 68 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 168 33%
Agricultural and Biological Sciences 106 21%
Medicine and Dentistry 92 18%
Neuroscience 22 4%
Computer Science 13 3%
Other 29 6%
Unknown 84 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 224. 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 15 October 2019.
All research outputs
#82,360
of 16,253,797 outputs
Outputs from Nature
#7,415
of 76,715 outputs
Outputs of similar age
#2,961
of 270,248 outputs
Outputs of similar age from Nature
#205
of 746 outputs
Altmetric has tracked 16,253,797 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 76,715 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 87.7. This one has done particularly well, scoring higher than 90% 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 270,248 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 98% of its contemporaries.
We're also able to compare this research output to 746 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 72% of its contemporaries.