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The landscape of genomic alterations across childhood cancers

Overview of attention for article published in Nature, February 2018
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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 (99th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
364 X users
patent
3 patents
facebook
7 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
1056 Dimensions

Readers on

mendeley
1336 Mendeley
citeulike
2 CiteULike
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Title
The landscape of genomic alterations across childhood cancers
Published in
Nature, February 2018
DOI 10.1038/nature25480
Pubmed ID
Authors

Susanne N. Gröbner, Barbara C. Worst, Joachim Weischenfeldt, Ivo Buchhalter, Kortine Kleinheinz, Vasilisa A. Rudneva, Pascal D. Johann, Gnana Prakash Balasubramanian, Maia Segura-Wang, Sebastian Brabetz, Sebastian Bender, Barbara Hutter, Dominik Sturm, Elke Pfaff, Daniel Hübschmann, Gideon Zipprich, Michael Heinold, Jürgen Eils, Christian Lawerenz, Serap Erkek, Sander Lambo, Sebastian Waszak, Claudia Blattmann, Arndt Borkhardt, Michaela Kuhlen, Angelika Eggert, Simone Fulda, Manfred Gessler, Jenny Wegert, Roland Kappler, Daniel Baumhoer, Stefan Burdach, Renate Kirschner-Schwabe, Udo Kontny, Andreas E. Kulozik, Dietmar Lohmann, Simone Hettmer, Cornelia Eckert, Stefan Bielack, Michaela Nathrath, Charlotte Niemeyer, Günther H. Richter, Johannes Schulte, Reiner Siebert, Frank Westermann, Jan J. Molenaar, Gilles Vassal, Hendrik Witt, Birgit Burkhardt, Christian P. Kratz, Olaf Witt, Cornelis M. van Tilburg, Christof M. Kramm, Gudrun Fleischhack, Uta Dirksen, Stefan Rutkowski, Michael Frühwald, Katja von Hoff, Stephan Wolf, Thomas Klingebiel, Ewa Koscielniak, Pablo Landgraf, Jan Koster, Adam C. Resnick, Jinghui Zhang, Yanling Liu, Xin Zhou, Angela J. Waanders, Danny A. Zwijnenburg, Pichai Raman, Benedikt Brors, Ursula D. Weber, Paul A. Northcott, Kristian W. Pajtler, Marcel Kool, Rosario M. Piro, Jan O. Korbel, Matthias Schlesner, Roland Eils, David T. W. Jones, Peter Lichter, Lukas Chavez, Marc Zapatka, Stefan M. Pfister

Abstract

Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7-8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 364 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 1,336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1336 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 263 20%
Student > Ph. D. Student 223 17%
Student > Master 128 10%
Student > Bachelor 108 8%
Student > Doctoral Student 88 7%
Other 202 15%
Unknown 324 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 388 29%
Medicine and Dentistry 227 17%
Agricultural and Biological Sciences 187 14%
Immunology and Microbiology 34 3%
Computer Science 25 2%
Other 109 8%
Unknown 366 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 307. 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 28 January 2022.
All research outputs
#112,603
of 25,515,042 outputs
Outputs from Nature
#7,640
of 98,121 outputs
Outputs of similar age
#2,754
of 344,406 outputs
Outputs of similar age from Nature
#189
of 916 outputs
Altmetric has tracked 25,515,042 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 98,121 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done particularly well, scoring higher than 92% 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 344,406 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 99% of its contemporaries.
We're also able to compare this research output to 916 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.