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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial heterogeneity in medulloblastoma
|
|---|---|
| Published in |
Nature Genetics, April 2017
|
| DOI | 10.1038/ng.3838 |
| Pubmed ID | |
| Authors |
A Sorana Morrissy, Florence M G Cavalli, Marc Remke, Vijay Ramaswamy, David J H Shih, Borja L Holgado, Hamza Farooq, Laura K Donovan, Livia Garzia, Sameer Agnihotri, Erin N Kiehna, Eloi Mercier, Chelsea Mayoh, Simon Papillon-Cavanagh, Hamid Nikbakht, Tenzin Gayden, Jonathon Torchia, Daniel Picard, Diana M Merino, Maria Vladoiu, Betty Luu, Xiaochong Wu, Craig Daniels, Stuart Horswell, Yuan Yao Thompson, Volker Hovestadt, Paul A Northcott, David T W Jones, John Peacock, Xin Wang, Stephen C Mack, Jüri Reimand, Steffen Albrecht, Adam M Fontebasso, Nina Thiessen, Yisu Li, Jacqueline E Schein, Darlene Lee, Rebecca Carlsen, Michael Mayo, Kane Tse, Angela Tam, Noreen Dhalla, Adrian Ally, Eric Chuah, Young Cheng, Patrick Plettner, Haiyan I Li, Richard D Corbett, Tina Wong, William Long, James Loukides, Pawel Buczkowicz, Cynthia E Hawkins, Uri Tabori, Brian R Rood, John S Myseros, Roger J Packer, Andrey Korshunov, Peter Lichter, Marcel Kool, Stefan M Pfister, Ulrich Schüller, Peter Dirks, Annie Huang, Eric Bouffet, James T Rutka, Gary D Bader, Charles Swanton, Yusanne Ma, Richard A Moore, Andrew J Mungall, Jacek Majewski, Steven J M Jones, Sunit Das, David Malkin, Nada Jabado, Marco A Marra, Michael D Taylor |
| Abstract |
Spatial heterogeneity of transcriptional and genetic markers between physically isolated biopsies of a single tumor poses major barriers to the identification of biomarkers and the development of targeted therapies that will be effective against the entire tumor. We analyzed the spatial heterogeneity of multiregional biopsies from 35 patients, using a combination of transcriptomic and genomic profiles. Medulloblastomas (MBs), but not high-grade gliomas (HGGs), demonstrated spatially homogeneous transcriptomes, which allowed for accurate subgrouping of tumors from a single biopsy. Conversely, somatic mutations that affect genes suitable for targeted therapeutics demonstrated high levels of spatial heterogeneity in MB, malignant glioma, and renal cell carcinoma (RCC). Actionable targets found in a single MB biopsy were seldom clonal across the entire tumor, which brings the efficacy of monotherapies against a single target into question. Clinical trials of targeted therapies for MB should first ensure the spatially ubiquitous nature of the target mutation. |
X Demographics
The data shown below were collected from the profiles of 31 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 | 12 | 39% |
| Canada | 4 | 13% |
| Portugal | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 12 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 52% |
| Scientists | 14 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | <1% |
| United States | 1 | <1% |
| Unknown | 228 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 25% |
| Student > Ph. D. Student | 47 | 20% |
| Student > Master | 24 | 10% |
| Student > Bachelor | 22 | 10% |
| Other | 13 | 6% |
| Other | 33 | 14% |
| Unknown | 34 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 28% |
| Medicine and Dentistry | 48 | 21% |
| Agricultural and Biological Sciences | 47 | 20% |
| Neuroscience | 11 | 5% |
| Computer Science | 6 | 3% |
| Other | 15 | 6% |
| Unknown | 40 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 21 October 2020.
All research outputs
#922,930
of 24,286,850 outputs
Outputs from Nature Genetics
#1,629
of 7,394 outputs
Outputs of similar age
#19,603
of 313,899 outputs
Outputs of similar age from Nature Genetics
#53
of 80 outputs
Altmetric has tracked 24,286,850 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 7,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.5. 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 313,899 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 93% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.