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Oncotarget

Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis

Overview of attention for article published in Oncotarget, April 2016
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
97 Mendeley
Title
Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis
Published in
Oncotarget, April 2016
DOI 10.18632/oncotarget.8551
Pubmed ID
Authors

Tyler C. Steed, Jeffrey M. Treiber, Kunal Patel, Valya Ramakrishnan, Alexander Merk, Amanda R. Smith, Bob S. Carter, Anders M. Dale, Lionel M. L. Chow, Clark C. Chen

Abstract

The subventricular zone (SVZ) has been implicated in the pathogenesis of glioblastoma. Whether molecular subtypes of glioblastoma arise from unique niches of the brain relative to the SVZ remains largely unknown. Here, we tested whether these subtypes of glioblastoma occupy distinct regions of the cerebrum and examined glioblastoma localization in relation to the SVZ. Pre-operative MR images from 217 glioblastoma patients from The Cancer Imaging Archive were segmented automatically into contrast enhancing (CE) tumor volumes using Iterative Probabilistic Voxel Labeling (IPVL). Probabilistic maps of tumor location were generated for each subtype and distances were calculated from the centroid of CE tumor volumes to the SVZ. Glioblastomas that arose in a Genetically Modified Murine Model (GEMM) model were also analyzed with regard to SVZ distance and molecular subtype. Classical and mesenchymal glioblastomas were more diffusely distributed and located farther from the SVZ. In contrast, proneural and neural glioblastomas were more likely to be located in closer proximity to the SVZ. Moreover, in a GFAP-CreER; PtenloxP/loxP; Trp53loxP/loxP; Rb1loxP/loxP; Rbl1-/- GEMM model of glioblastoma where tumor can spontaneously arise in different regions of the cerebrum, tumors that arose near the SVZ were more likely to be of proneural subtype (p < 0.0001). Glioblastoma subtypes occupy different regions of the brain and vary in proximity to the SVZ. These findings harbor implications pertaining to the pathogenesis of glioblastoma subtypes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 96 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Researcher 14 14%
Student > Bachelor 11 11%
Student > Master 11 11%
Student > Doctoral Student 7 7%
Other 17 18%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 24 25%
Biochemistry, Genetics and Molecular Biology 18 19%
Agricultural and Biological Sciences 13 13%
Neuroscience 10 10%
Computer Science 3 3%
Other 11 11%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 75. 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 22 May 2017.
All research outputs
#498,312
of 23,301,510 outputs
Outputs from Oncotarget
#145
of 14,406 outputs
Outputs of similar age
#10,031
of 301,365 outputs
Outputs of similar age from Oncotarget
#6
of 1,289 outputs
Altmetric has tracked 23,301,510 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 14,406 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 99% 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 301,365 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 1,289 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 99% of its contemporaries.