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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recurrent Somatic Structural Variations Contribute to Tumorigenesis in Pediatric Osteosarcoma
|
|---|---|
| Published in |
Cell Reports, April 2014
|
| DOI | 10.1016/j.celrep.2014.03.003 |
| Pubmed ID | |
| Authors |
Xiang Chen, Armita Bahrami, Alberto Pappo, John Easton, James Dalton, Erin Hedlund, David Ellison, Sheila Shurtleff, Gang Wu, Lei Wei, Matthew Parker, Michael Rusch, Panduka Nagahawatte, Jianrong Wu, Shenghua Mao, Kristy Boggs, Heather Mulder, Donald Yergeau, Charles Lu, Li Ding, Michael Edmonson, Chunxu Qu, Jianmin Wang, Yongjin Li, Fariba Navid, Najat C. Daw, Elaine R. Mardis, Richard K. Wilson, James R. Downing, Jinghui Zhang, Michael A. Dyer, St. Jude Children’s Research Hospital–Washington University Pediatric Cancer Genome Project |
| Abstract |
Pediatric osteosarcoma is characterized by multiple somatic chromosomal lesions, including structural variations (SVs) and copy number alterations (CNAs). To define the landscape of somatic mutations in pediatric osteosarcoma, we performed whole-genome sequencing of DNA from 20 osteosarcoma tumor samples and matched normal tissue in a discovery cohort, as well as 14 samples in a validation cohort. Single-nucleotide variations (SNVs) exhibited a pattern of localized hypermutation called kataegis in 50% of the tumors. We identified p53 pathway lesions in all tumors in the discovery cohort, nine of which were translocations in the first intron of the TP53 gene. Beyond TP53, the RB1, ATRX, and DLG2 genes showed recurrent somatic alterations in 29%-53% of the tumors. These data highlight the power of whole-genome sequencing for identifying recurrent somatic alterations in cancer genomes that may be missed using other methods. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 389 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Germany | 2 | <1% |
| Netherlands | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Singapore | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 376 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 20% |
| Researcher | 67 | 17% |
| Student > Master | 41 | 11% |
| Student > Bachelor | 35 | 9% |
| Other | 18 | 5% |
| Other | 46 | 12% |
| Unknown | 104 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 96 | 25% |
| Medicine and Dentistry | 72 | 19% |
| Agricultural and Biological Sciences | 56 | 14% |
| Immunology and Microbiology | 10 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 2% |
| Other | 36 | 9% |
| Unknown | 112 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 07 May 2023.
All research outputs
#852,820
of 25,373,627 outputs
Outputs from Cell Reports
#1,970
of 12,956 outputs
Outputs of similar age
#8,082
of 238,628 outputs
Outputs of similar age from Cell Reports
#25
of 168 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done well, scoring higher than 84% 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 238,628 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 96% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.