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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes
|
|---|---|
| Published in |
Nature Communications, April 2014
|
| DOI | 10.1038/ncomms4630 |
| Pubmed ID | |
| Authors |
Robert Huether, Li Dong, Xiang Chen, Gang Wu, Matthew Parker, Lei Wei, Jing Ma, Michael N. Edmonson, Erin K. Hedlund, Michael C. Rusch, Sheila A. Shurtleff, Heather L. Mulder, Kristy Boggs, Bhavin Vadordaria, Jinjun Cheng, Donald Yergeau, Guangchun Song, Jared Becksfort, Gordon Lemmon, Catherine Weber, Zhongling Cai, Jinjun Dang, Michael Walsh, Amanda L. Gedman, Zachary Faber, John Easton, Tanja Gruber, Richard W. Kriwacki, Janet F. Partridge, Li Ding, Richard K. Wilson, Elaine R. Mardis, Charles G. Mullighan, Richard J. Gilbertson, Suzanne J. Baker, Gerard Zambetti, David W. Ellison, Jinghui Zhang, James R. Downing |
| Abstract |
Studies of paediatric cancers have shown a high frequency of mutation across epigenetic regulators. Here we sequence 633 genes, encoding the majority of known epigenetic regulatory proteins, in over 1,000 paediatric tumours to define the landscape of somatic mutations in epigenetic regulators in paediatric cancer. Our results demonstrate a marked variation in the frequency of gene mutations across 21 different paediatric cancer subtypes, with the highest frequency of mutations detected in high-grade gliomas, T-lineage acute lymphoblastic leukaemia and medulloblastoma, and a paucity of mutations in low-grade glioma and retinoblastoma. The most frequently mutated genes are H3F3A, PHF6, ATRX, KDM6A, SMARCA4, ASXL2, CREBBP, EZH2, MLL2, USP7, ASXL1, NSD2, SETD2, SMC1A and ZMYM3. We identify novel loss-of-function mutations in the ubiquitin-specific processing protease 7 (USP7) in paediatric leukaemia, which result in decreased deubiquitination activity. Collectively, our results help to define the landscape of mutations in epigenetic regulatory genes in paediatric cancer and yield a valuable new database for investigating the role of epigenetic dysregulations in cancer. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Saudi Arabia | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 447 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| Canada | 3 | <1% |
| Denmark | 3 | <1% |
| United Kingdom | 3 | <1% |
| Italy | 2 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Czechia | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 417 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 117 | 26% |
| Researcher | 100 | 22% |
| Student > Master | 40 | 9% |
| Other | 31 | 7% |
| Student > Doctoral Student | 26 | 6% |
| Other | 69 | 15% |
| Unknown | 64 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 136 | 30% |
| Agricultural and Biological Sciences | 106 | 24% |
| Medicine and Dentistry | 70 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 3% |
| Neuroscience | 8 | 2% |
| Other | 37 | 8% |
| Unknown | 78 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 January 2020.
All research outputs
#3,193,702
of 23,305,591 outputs
Outputs from Nature Communications
#29,430
of 48,182 outputs
Outputs of similar age
#33,140
of 229,413 outputs
Outputs of similar age from Nature Communications
#264
of 494 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 229,413 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 494 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.