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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intertumoral Heterogeneity within Medulloblastoma Subgroups
|
|---|---|
| Published in |
Cancer Cell, June 2017
|
| DOI | 10.1016/j.ccell.2017.05.005 |
| Pubmed ID | |
| Authors |
Florence M.G. Cavalli, Marc Remke, Ladislav Rampasek, John Peacock, David J.H. Shih, Betty Luu, Livia Garzia, Jonathon Torchia, Carolina Nor, A. Sorana Morrissy, Sameer Agnihotri, Yuan Yao Thompson, Claudia M. Kuzan-Fischer, Hamza Farooq, Keren Isaev, Craig Daniels, Byung-Kyu Cho, Seung-Ki Kim, Kyu-Chang Wang, Ji Yeoun Lee, Wieslawa A. Grajkowska, Marta Perek-Polnik, Alexandre Vasiljevic, Cecile Faure-Conter, Anne Jouvet, Caterina Giannini, Amulya A. Nageswara Rao, Kay Ka Wai Li, Ho-Keung Ng, Charles G. Eberhart, Ian F. Pollack, Ronald L. Hamilton, G. Yancey Gillespie, James M. Olson, Sarah Leary, William A. Weiss, Boleslaw Lach, Lola B. Chambless, Reid C. Thompson, Michael K. Cooper, Rajeev Vibhakar, Peter Hauser, Marie-Lise C. van Veelen, Johan M. Kros, Pim J. French, Young Shin Ra, Toshihiro Kumabe, Enrique López-Aguilar, Karel Zitterbart, Jaroslav Sterba, Gaetano Finocchiaro, Maura Massimino, Erwin G. Van Meir, Satoru Osuka, Tomoko Shofuda, Almos Klekner, Massimo Zollo, Jeffrey R. Leonard, Joshua B. Rubin, Nada Jabado, Steffen Albrecht, Jaume Mora, Timothy E. Van Meter, Shin Jung, Andrew S. Moore, Andrew R. Hallahan, Jennifer A. Chan, Daniela P.C. Tirapelli, Carlos G. Carlotti, Maryam Fouladi, José Pimentel, Claudia C. Faria, Ali G. Saad, Luca Massimi, Linda M. Liau, Helen Wheeler, Hideo Nakamura, Samer K. Elbabaa, Mario Perezpeña-Diazconti, Fernando Chico Ponce de León, Shenandoah Robinson, Michal Zapotocky, Alvaro Lassaletta, Annie Huang, Cynthia E. Hawkins, Uri Tabori, Eric Bouffet, Ute Bartels, Peter B. Dirks, James T. Rutka, Gary D. Bader, Jüri Reimand, Anna Goldenberg, Vijay Ramaswamy, Michael D. Taylor |
X Demographics
The data shown below were collected from the profiles of 70 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 | 20 | 29% |
| United Kingdom | 5 | 7% |
| India | 3 | 4% |
| France | 3 | 4% |
| Canada | 2 | 3% |
| Italy | 2 | 3% |
| Saudi Arabia | 1 | 1% |
| Mexico | 1 | 1% |
| Ireland | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 27 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 35 | 50% |
| Members of the public | 31 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 782 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | <1% |
| Unknown | 781 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 118 | 15% |
| Researcher | 98 | 13% |
| Student > Master | 87 | 11% |
| Student > Bachelor | 80 | 10% |
| Other | 49 | 6% |
| Other | 111 | 14% |
| Unknown | 239 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 173 | 22% |
| Medicine and Dentistry | 148 | 19% |
| Agricultural and Biological Sciences | 74 | 9% |
| Neuroscience | 36 | 5% |
| Computer Science | 14 | 2% |
| Other | 68 | 9% |
| Unknown | 269 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 64. 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 09 January 2024.
All research outputs
#679,218
of 25,837,817 outputs
Outputs from Cancer Cell
#528
of 3,186 outputs
Outputs of similar age
#13,933
of 332,730 outputs
Outputs of similar age from Cancer Cell
#5
of 35 outputs
Altmetric has tracked 25,837,817 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 3,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.8. This one has done well, scoring higher than 83% 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 332,730 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 95% of its contemporaries.
We're also able to compare this research output to 35 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.