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YB-1 dependent oncolytic adenovirus efficiently inhibits tumor growth of glioma cancer stem like cells

Overview of attention for article published in Journal of Translational Medicine, September 2013
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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52 Mendeley
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Title
YB-1 dependent oncolytic adenovirus efficiently inhibits tumor growth of glioma cancer stem like cells
Published in
Journal of Translational Medicine, September 2013
DOI 10.1186/1479-5876-11-216
Pubmed ID
Authors

Klaus Mantwill, Ulrike Naumann, Janina Seznec, Vroni Girbinger, Hermann Lage, Pawel Surowiak, Dagmar Beier, Michel Mittelbronn, Jürgen Schlegel, Per Sonne Holm

Abstract

The brain cancer stem cell (CSC) model describes a small subset of glioma cells as being responsible for tumor initiation, conferring therapy resistance and tumor recurrence. In brain CSC, the PI3-K/AKT and the RAS/mitogen activated protein kinase (MAPK) pathways are found to be activated. In consequence, the human transcription factor YB-1, knowing to be responsible for the emergence of drug resistance and driving adenoviral replication, is phosphorylated and activated. With this knowledge, YB-1 was established in the past as a biomarker for disease progression and prognosis. This study determines the expression of YB-1 in glioblastoma (GBM) specimen in vivo and in brain CSC lines. In addition, the capacity of Ad-Delo3-RGD, an YB-1 dependent oncolytic adenovirus, to eradicate CSC was evaluated both in vitro and in vivo.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Researcher 7 13%
Student > Master 7 13%
Student > Ph. D. Student 5 10%
Lecturer 3 6%
Other 5 10%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 11 21%
Agricultural and Biological Sciences 9 17%
Biochemistry, Genetics and Molecular Biology 6 12%
Psychology 3 6%
Neuroscience 3 6%
Other 3 6%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 October 2013.
All research outputs
#12,822,871
of 22,721,584 outputs
Outputs from Journal of Translational Medicine
#1,455
of 3,973 outputs
Outputs of similar age
#100,496
of 201,958 outputs
Outputs of similar age from Journal of Translational Medicine
#21
of 61 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 63% 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 201,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.