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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours
|
|---|---|
| Published in |
Nature, February 2018
|
| DOI | 10.1038/nature25795 |
| Pubmed ID | |
| Authors |
Xiaotu Ma, Yu Liu, Yanling Liu, Ludmil B. Alexandrov, Michael N. Edmonson, Charles Gawad, Xin Zhou, Yongjin Li, Michael C. Rusch, John Easton, Robert Huether, Veronica Gonzalez-Pena, Mark R. Wilkinson, Leandro C. Hermida, Sean Davis, Edgar Sioson, Stanley Pounds, Xueyuan Cao, Rhonda E. Ries, Zhaoming Wang, Xiang Chen, Li Dong, Sharon J. Diskin, Malcolm A. Smith, Jaime M. Guidry Auvil, Paul S. Meltzer, Ching C. Lau, Elizabeth J. Perlman, John M. Maris, Soheil Meshinchi, Stephen P. Hunger, Daniela S. Gerhard, Jinghui Zhang |
| Abstract |
Analysis of molecular aberrations across multiple cancer types, known as pan-cancer analysis, identifies commonalities and differences in key biological processes that are dysregulated in cancer cells from diverse lineages. Pan-cancer analyses have been performed for adult but not paediatric cancers, which commonly occur in developing mesodermic rather than adult epithelial tissues. Here we present a pan-cancer study of somatic alterations, including single nucleotide variants, small insertions or deletions, structural variations, copy number alterations, gene fusions and internal tandem duplications in 1,699 paediatric leukaemias and solid tumours across six histotypes, with whole-genome, whole-exome and transcriptome sequencing data processed under a uniform analytical framework. We report 142 driver genes in paediatric cancers, of which only 45% match those found in adult pan-cancer studies; copy number alterations and structural variants constituted the majority (62%) of events. Eleven genome-wide mutational signatures were identified, including one attributed to ultraviolet-light exposure in eight aneuploid leukaemias. Transcription of the mutant allele was detectable for 34% of protein-coding mutations, and 20% exhibited allele-specific expression. These data provide a comprehensive genomic architecture for paediatric cancers and emphasize the need for paediatric cancer-specific development of precision therapies. |
X Demographics
The data shown below were collected from the profiles of 437 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 | 135 | 31% |
| United Kingdom | 23 | 5% |
| Spain | 13 | 3% |
| France | 8 | 2% |
| India | 8 | 2% |
| Canada | 7 | 2% |
| Australia | 6 | 1% |
| Mexico | 6 | 1% |
| Brazil | 6 | 1% |
| Other | 63 | 14% |
| Unknown | 162 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 272 | 62% |
| Scientists | 138 | 32% |
| Practitioners (doctors, other healthcare professionals) | 19 | 4% |
| Science communicators (journalists, bloggers, editors) | 7 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 900 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 900 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 193 | 21% |
| Student > Ph. D. Student | 164 | 18% |
| Student > Master | 80 | 9% |
| Student > Doctoral Student | 60 | 7% |
| Student > Bachelor | 59 | 7% |
| Other | 134 | 15% |
| Unknown | 210 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 274 | 30% |
| Medicine and Dentistry | 133 | 15% |
| Agricultural and Biological Sciences | 132 | 15% |
| Computer Science | 30 | 3% |
| Immunology and Microbiology | 27 | 3% |
| Other | 78 | 9% |
| Unknown | 226 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 577. 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 20 February 2024.
All research outputs
#41,290
of 26,017,215 outputs
Outputs from Nature
#3,558
of 99,074 outputs
Outputs of similar age
#950
of 347,827 outputs
Outputs of similar age from Nature
#86
of 916 outputs
Altmetric has tracked 26,017,215 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 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has done particularly well, scoring higher than 96% 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 347,827 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 particularly well, scoring higher than 90% of its contemporaries.