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A Pan-Cancer Proteogenomic Atlas of PI3K/AKT/mTOR Pathway Alterations

Overview of attention for article published in Cancer Cell, June 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

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190 Dimensions

Readers on

mendeley
337 Mendeley
citeulike
1 CiteULike
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Title
A Pan-Cancer Proteogenomic Atlas of PI3K/AKT/mTOR Pathway Alterations
Published in
Cancer Cell, June 2017
DOI 10.1016/j.ccell.2017.04.013
Pubmed ID
Authors

Yiqun Zhang, Patrick Kwok-Shing Ng, Melanie Kucherlapati, Fengju Chen, Yuexin Liu, Yiu Huen Tsang, Guillermo de Velasco, Kang Jin Jeong, Rehan Akbani, Angela Hadjipanayis, Angeliki Pantazi, Christopher A. Bristow, Eunjung Lee, Harshad S. Mahadeshwar, Jiabin Tang, Jianhua Zhang, Lixing Yang, Sahil Seth, Semin Lee, Xiaojia Ren, Xingzhi Song, Huandong Sun, Jonathan Seidman, Lovelace J. Luquette, Ruibin Xi, Lynda Chin, Alexei Protopopov, Thomas F. Westbrook, Carl Simon Shelley, Toni K. Choueiri, Michael Ittmann, Carter Van Waes, John N. Weinstein, Han Liang, Elizabeth P. Henske, Andrew K. Godwin, Peter J. Park, Raju Kucherlapati, Kenneth L. Scott, Gordon B. Mills, David J. Kwiatkowski, Chad J. Creighton

Abstract

Molecular alterations involving the PI3K/AKT/mTOR pathway (including mutation, copy number, protein, or RNA) were examined across 11,219 human cancers representing 32 major types. Within specific mutated genes, frequency, mutation hotspot residues, in silico predictions, and functional assays were all informative in distinguishing the subset of genetic variants more likely to have functional relevance. Multiple oncogenic pathways including PI3K/AKT/mTOR converged on similar sets of downstream transcriptional targets. In addition to mutation, structural variations and partial copy losses involving PTEN and STK11 showed evidence for having functional relevance. A substantial fraction of cancers showed high mTOR pathway activity without an associated canonical genetic or genomic alteration, including cancers harboring IDH1 or VHL mutations, suggesting multiple mechanisms for pathway activation.

Twitter Demographics

The data shown below were collected from the profiles of 182 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Sweden 1 <1%
Brazil 1 <1%
France 1 <1%
Unknown 330 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 89 26%
Student > Ph. D. Student 70 21%
Student > Master 24 7%
Student > Doctoral Student 20 6%
Other 18 5%
Other 60 18%
Unknown 56 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 123 36%
Agricultural and Biological Sciences 60 18%
Medicine and Dentistry 47 14%
Pharmacology, Toxicology and Pharmaceutical Science 11 3%
Computer Science 8 2%
Other 26 8%
Unknown 62 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 142. 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 January 2021.
All research outputs
#158,389
of 17,150,239 outputs
Outputs from Cancer Cell
#63
of 2,556 outputs
Outputs of similar age
#4,872
of 273,751 outputs
Outputs of similar age from Cancer Cell
#2
of 37 outputs
Altmetric has tracked 17,150,239 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 2,556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 97% 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 273,751 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 98% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.