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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated Molecular Characterization of Uterine Carcinosarcoma
|
|---|---|
| Published in |
Cancer Cell, March 2017
|
| DOI | 10.1016/j.ccell.2017.02.010 |
| Pubmed ID | |
| Authors |
Andrew D. Cherniack, Hui Shen, Vonn Walter, Chip Stewart, Bradley A. Murray, Reanne Bowlby, Xin Hu, Shiyun Ling, Robert A. Soslow, Russell R. Broaddus, Rosemary E. Zuna, Gordon Robertson, Peter W. Laird, Raju Kucherlapati, Gordon B. Mills, The Cancer Genome Atlas Research Network, Rehan Akbani, Adrian Ally, J. Todd Auman, Miruna Balasundaram, Saianand Balu, Stephen B. Baylin, Rameen Beroukhim, Tom Bodenheimer, Faina Bogomolniy, Lori Boice, Moiz S. Bootwalla, Jay Bowen, Reanne Bowlby, Russell Broaddus, Denise Brooks, Rebecca Carlsen, Andrew D. Cherniack, Juok Cho, Eric Chuah, Sudha Chudamani, Kristian Cibulskis, Melissa Cline, Fanny Dao, Mutch David, John A. Demchok, Noreen Dhalla, Sean Dowdy, Ina Felau, Martin L. Ferguson, Scott Frazer, Jessica Frick, Stacey Gabriel, Julie M. Gastier-Foster, Nils Gehlenborg, Mark Gerken, Gad Getz, Manaswi Gupta, David Haussler, D. Neil Hayes, David I. Heiman, Julian Hess, Katherine A. Hoadley, Robert Hoffmann, Robert A. Holt, Alan P. Hoyle, Xin Hu, Mei Huang, Carolyn M. Hutter, Stuart R. Jefferys, Steven J.M. Jones, Corbin D. Jones, Rupa S. Kanchi, Cyriac Kandoth, Katayoon Kasaian, Sarah Kerr, Jaegil Kim, Phillip H. Lai, Peter W. Laird, Eric Lander, Michael S. Lawrence, Darlene Lee, Kristen M. Leraas, Ignaty Leshchiner, Douglas A. Levine, Tara M. Lichtenberg, Pei Lin, Shiyun Ling, Jia Liu, Wenbin Liu, Yuexin Liu, Laxmi Lolla, Yiling Lu, Yussanne Ma, Dennis T. Maglinte, Marco A. Marra, Michael Mayo, Shaowu Meng, Matthew Meyerson, Piotr A. Mieczkowski, Gordon B. Mills, Richard A. Moore, Lisle E. Mose, Andrew J. Mungall, Karen Mungall, Bradley A. Murray, Rashi Naresh, Michael S. Noble, Narciso Olvera, Joel S. Parker, Charles M. Perou, Amy H. Perou, Todd Pihl, Amie J. Radenbaugh, Nilsa C. Ramirez, W. Kimryn Rathmell, Jeffrey Roach, A. Gordon Robertson, Sara Sadeghi, Gordon Saksena, Helga B. Salvesen, Jacqueline E. Schein, Steven E. Schumacher, Hui Shen, Margi Sheth, Yan Shi, Juliann Shih, Janae V. Simons, Payal Sipahimalani, Tara Skelly, Heidi J. Sofia, Matthew G. Soloway, Robert A. Soslow, Carrie Sougnez, Chip Stewart, Charlie Sun, Angela Tam, Donghui Tan, Roy Tarnuzzer, Nina Thiessen, Leigh B. Thorne, Kane Tse, Jill Tseng, David J. Van Den Berg, Umadevi Veluvolu, Roel G.W. Verhaak, Doug Voet, Amanda von Bismarck, Vonn Walter, Yunhu Wan, Zhining Wang, Chen Wang, John N. Weinstein, Daniel J. Weisenberger, Matthew D. Wilkerson, Boris Winterhoff, Lisa Wise, Tina Wong, Ye Wu, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Hailei Zhang, Wei Zhang, Jing-chun Zhu, Erik Zmuda, Rosemary E. Zuna, John N. Weinstein, Jiashan Zhang, Rehan Akbani, Douglas A. Levine |
| Abstract |
We performed genomic, epigenomic, transcriptomic, and proteomic characterizations of uterine carcinosarcomas (UCSs). Cohort samples had extensive copy-number alterations and highly recurrent somatic mutations. Frequent mutations were found in TP53, PTEN, PIK3CA, PPP2R1A, FBXW7, and KRAS, similar to endometrioid and serous uterine carcinomas. Transcriptome sequencing identified a strong epithelial-to-mesenchymal transition (EMT) gene signature in a subset of cases that was attributable to epigenetic alterations at microRNA promoters. The range of EMT scores in UCS was the largest among all tumor types studied via The Cancer Genome Atlas. UCSs shared proteomic features with gynecologic carcinomas and sarcomas with intermediate EMT features. Multiple somatic mutations and copy-number alterations in genes that are therapeutic targets were identified. |
X Demographics
The data shown below were collected from the profiles of 41 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 | 24 | 59% |
| France | 2 | 5% |
| Spain | 2 | 5% |
| Norway | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Finland | 1 | 2% |
| Oman | 1 | 2% |
| Unknown | 9 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 46% |
| Scientists | 17 | 41% |
| Practitioners (doctors, other healthcare professionals) | 3 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 275 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 19% |
| Student > Ph. D. Student | 51 | 18% |
| Other | 19 | 7% |
| Student > Doctoral Student | 18 | 6% |
| Student > Master | 17 | 6% |
| Other | 44 | 16% |
| Unknown | 78 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 21% |
| Biochemistry, Genetics and Molecular Biology | 53 | 19% |
| Agricultural and Biological Sciences | 48 | 17% |
| Computer Science | 13 | 5% |
| Immunology and Microbiology | 6 | 2% |
| Other | 13 | 5% |
| Unknown | 88 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 12 August 2021.
All research outputs
#541,834
of 25,775,807 outputs
Outputs from Cancer Cell
#379
of 3,182 outputs
Outputs of similar age
#11,238
of 325,488 outputs
Outputs of similar age from Cancer Cell
#7
of 43 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.4. This one has done well, scoring higher than 88% 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 325,488 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 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.