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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Readers on

mendeley
1433 Mendeley
citeulike
3 CiteULike
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Article details
Title
Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma
Published in
Cell, January 2016
DOI 10.1016/j.cell.2015.12.028
Pubmed ID
Authors

Michele Ceccarelli, Floris P. Barthel, Tathiane M. Malta, Thais S. Sabedot, Sofie R. Salama, Bradley A. Murray, Olena Morozova, Yulia Newton, Amie Radenbaugh, Stefano M. Pagnotta, Samreen Anjum, Jiguang Wang, Ganiraju Manyam, Pietro Zoppoli, Shiyun Ling, Arjun A. Rao, Mia Grifford, Andrew D. Cherniack, Hailei Zhang, Laila Poisson, Carlos Gilberto Carlotti, Daniela Pretti da Cunha Tirapelli, Arvind Rao, Tom Mikkelsen, Ching C. Lau, W.K. Alfred Yung, Raul Rabadan, Jason Huse, Daniel J. Brat, Norman L. Lehman, Jill S. Barnholtz-Sloan, Siyuan Zheng, Kenneth Hess, Ganesh Rao, Matthew Meyerson, Rameen Beroukhim, Lee Cooper, Rehan Akbani, Margaret Wrensch, David Haussler, Kenneth D. Aldape, Peter W. Laird, David H. Gutmann, TCGA Research Network, Samreen Anjum, Harindra Arachchi, J. Todd Auman, Miruna Balasundaram, Saianand Balu, Gene Barnett, Stephen Baylin, Sue Bell, Christopher Benz, Natalie Bir, Keith L. Black, Tom Bodenheimer, Lori Boice, Moiz S. Bootwalla, Jay Bowen, Christopher A. Bristow, Yaron S.N. Butterfield, Qing-Rong Chen, Lynda Chin, Juok Cho, Eric Chuah, Sudha Chudamani, Simon G. Coetzee, Mark L. Cohen, Howard Colman, Marta Couce, Fulvio D’Angelo, Tanja Davidsen, Amy Davis, John A. Demchok, Karen Devine, Li Ding, Rebecca Duell, J. Bradley Elder, Jennifer M. Eschbacher, Ashley Fehrenbach, Martin Ferguson, Scott Frazer, Gregory Fuller, Jordonna Fulop, Stacey B. Gabriel, Luciano Garofano, Julie M. Gastier-Foster, Nils Gehlenborg, Mark Gerken, Gad Getz, Caterina Giannini, William J. Gibson, Angela Hadjipanayis, D. Neil Hayes, David I. Heiman, Beth Hermes, Joe Hilty, Katherine A. Hoadley, Alan P. Hoyle, Mei Huang, Stuart R. Jefferys, Corbin D. Jones, Steven J.M. Jones, Zhenlin Ju, Alison Kastl, Ady Kendler, Jaegil Kim, Raju Kucherlapati, Phillip H. Lai, Michael S. Lawrence, Semin Lee, Kristen M. Leraas, Tara M. Lichtenberg, Pei Lin, Yuexin Liu, Jia Liu, Julia Y. Ljubimova, Yiling Lu, Yussanne Ma, Dennis T. Maglinte, Harshad S. Mahadeshwar, Marco A. Marra, Mary McGraw, Christopher McPherson, Shaowu Meng, Piotr A. Mieczkowski, C. Ryan Miller, Gordon B. Mills, Richard A. Moore, Lisle E. Mose, Andrew J. Mungall, Rashi Naresh, Theresa Naska, Luciano Neder, Michael S. Noble, Ardene Noss, Brian Patrick O’Neill, Quinn T. Ostrom, Cheryl Palmer, Angeliki Pantazi, Michael Parfenov, Peter J. Park, Joel S. Parker, Charles M. Perou, Christopher R. Pierson, Todd Pihl, Alexei Protopopov, Amie Radenbaugh, Nilsa C. Ramirez, W. Kimryn Rathmell, Xiaojia Ren, Jeffrey Roach, A. Gordon Robertson, Gordon Saksena, Jacqueline E. Schein, Steven E. Schumacher, Jonathan Seidman, Kelly Senecal, Sahil Seth, Hui Shen, Yan Shi, Juliann Shih, Kristen Shimmel, Hugues Sicotte, Suzanne Sifri, Tiago Silva, Janae V. Simons, Rosy Singh, Tara Skelly, Andrew E. Sloan, Heidi J. Sofia, Matthew G. Soloway, Xingzhi Song, Carrie Sougnez, Camila Souza, Susan M. Staugaitis, Huandong Sun, Charlie Sun, Donghui Tan, Jiabin Tang, Yufang Tang, Leigh Thorne, Felipe Amstalden Trevisan, Timothy Triche, David J. Van Den Berg, Umadevi Veluvolu, Doug Voet, Yunhu Wan, Zhining Wang, Ronald Warnick, John N. Weinstein, Daniel J. Weisenberger, Matthew D. Wilkerson, Felicia Williams, Lisa Wise, Yingli Wolinsky, Junyuan Wu, Andrew W. Xu, Lixing Yang, Liming Yang, Travis I. Zack, Jean C. Zenklusen, Jianhua Zhang, Wei Zhang, Jiashan Zhang, Erik Zmuda, Houtan Noushmehr, Antonio Iavarone, Roel G.W. Verhaak

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X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,433 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 <1%
Sweden 4 <1%
United Kingdom 4 <1%
Belgium 2 <1%
Czechia 2 <1%
Korea, Republic of 2 <1%
Japan 1 <1%
Italy 1 <1%
Hungary 1 <1%
Other 8 <1%
Unknown 1400 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 264 18%
Researcher 229 16%
Student > Master 130 9%
Student > Bachelor 105 7%
Student > Doctoral Student 76 5%
Other 233 16%
Unknown 396 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 341 24%
Medicine and Dentistry 204 14%
Agricultural and Biological Sciences 197 14%
Neuroscience 75 5%
Computer Science 47 3%
Other 120 8%
Unknown 449 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 169. 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 24 February 2026.
All research outputs
#296,745
of 33,779,198 outputs
Outputs from Cell
#1,519
of 19,351 outputs
Outputs of similar age
#4,005
of 445,105 outputs
Outputs of similar age from Cell
#17
of 164 outputs
Altmetric has tracked 33,779,198 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 19,351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.1. This one has done particularly well, scoring higher than 92% 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 445,105 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 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.