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Atypical Teratoid/Rhabdoid Tumors Are Comprised of Three Epigenetic Subgroups with Distinct Enhancer Landscapes

Overview of attention for article published in Cancer Cell, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
35 tweeters
facebook
2 Facebook pages
f1000
1 research highlight platform

Citations

dimensions_citation
256 Dimensions

Readers on

mendeley
321 Mendeley
citeulike
1 CiteULike
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Title
Atypical Teratoid/Rhabdoid Tumors Are Comprised of Three Epigenetic Subgroups with Distinct Enhancer Landscapes
Published in
Cancer Cell, March 2016
DOI 10.1016/j.ccell.2016.02.001
Pubmed ID
Authors

Pascal D. Johann, Serap Erkek, Marc Zapatka, Kornelius Kerl, Ivo Buchhalter, Volker Hovestadt, David T.W. Jones, Dominik Sturm, Carl Hermann, Maia Segura Wang, Andrey Korshunov, Marina Rhyzova, Susanne Gröbner, Sebastian Brabetz, Lukas Chavez, Susanne Bens, Stefan Gröschel, Fabian Kratochwil, Andrea Wittmann, Laura Sieber, Christina Geörg, Stefan Wolf, Katja Beck, Florian Oyen, David Capper, Peter van Sluis, Richard Volckmann, Jan Koster, Rogier Versteeg, Andreas von Deimling, Till Milde, Olaf Witt, Andreas E. Kulozik, Martin Ebinger, Tarek Shalaby, Michael Grotzer, David Sumerauer, Josef Zamecnik, Jaume Mora, Nada Jabado, Michael D. Taylor, Annie Huang, Eleonora Aronica, Anna Bertoni, Bernhard Radlwimmer, Torsten Pietsch, Ulrich Schüller, Reinhard Schneppenheim, Paul A. Northcott, Jan O. Korbel, Reiner Siebert, Michael C. Frühwald, Peter Lichter, Roland Eils, Amar Gajjar, Martin Hasselblatt, Stefan M. Pfister, Marcel Kool

Abstract

Atypical teratoid/rhabdoid tumor (ATRT) is one of the most common brain tumors in infants. Although the prognosis of ATRT patients is poor, some patients respond favorably to current treatments, suggesting molecular inter-tumor heterogeneity. To investigate this further, we genetically and epigenetically analyzed 192 ATRTs. Three distinct molecular subgroups of ATRTs, associated with differences in demographics, tumor location, and type of SMARCB1 alterations, were identified. Whole-genome DNA and RNA sequencing found no recurrent mutations in addition to SMARCB1 that would explain the differences between subgroups. Whole-genome bisulfite sequencing and H3K27Ac chromatin-immunoprecipitation sequencing of primary tumors, however, revealed clear differences, leading to the identification of subgroup-specific regulatory networks and potential therapeutic targets.

Twitter Demographics

The data shown below were collected from the profiles of 35 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 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Germany 2 <1%
Spain 2 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Japan 1 <1%
Portugal 1 <1%
Unknown 310 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 17%
Student > Ph. D. Student 53 17%
Student > Postgraduate 38 12%
Student > Bachelor 37 12%
Student > Master 31 10%
Other 65 20%
Unknown 41 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 95 30%
Medicine and Dentistry 89 28%
Agricultural and Biological Sciences 65 20%
Chemistry 3 <1%
Computer Science 3 <1%
Other 18 6%
Unknown 48 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 February 2019.
All research outputs
#724,986
of 14,259,178 outputs
Outputs from Cancer Cell
#510
of 2,279 outputs
Outputs of similar age
#19,689
of 267,240 outputs
Outputs of similar age from Cancer Cell
#17
of 54 outputs
Altmetric has tracked 14,259,178 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done well, scoring higher than 77% 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 267,240 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 92% of its contemporaries.
We're also able to compare this research output to 54 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 68% of its contemporaries.