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Molecular Basis of Pediatric Brain Tumors

Overview of attention for article published in NeuroMolecular Medicine, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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11 X users

Citations

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58 Mendeley
Title
Molecular Basis of Pediatric Brain Tumors
Published in
NeuroMolecular Medicine, July 2017
DOI 10.1007/s12017-017-8455-9
Pubmed ID
Authors

Alexia Klonou, Christina Piperi, Antonios N. Gargalionis, Athanasios G. Papavassiliou

Abstract

Brain tumors emerge as the second commonest type of pediatric solid tumors following hematologic malignancies. Genomic profiling of low- and high-grade gliomas, ependymomas and medulloblastomas has revealed chromosomal abnormalities and specific gene mutations which have been associated with aberrant activation of crucial signal transduction pathways, including mitogen-activated protein kinase, mammalian target of rapamycin and retinoblastoma tumor suppressor signaling. Furthermore, pediatric high-grade gliomas are associated with chromatin remodeling defects and somatic histone gene mutations that affect prognosis. This review provides an update of the molecular and genetic alterations that characterize pediatric brain tumors, and discusses novel therapeutic approaches targeting these abnormalities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 14%
Researcher 6 10%
Professor > Associate Professor 5 9%
Student > Master 5 9%
Other 3 5%
Other 14 24%
Unknown 17 29%
Readers by discipline Count As %
Medicine and Dentistry 16 28%
Biochemistry, Genetics and Molecular Biology 11 19%
Neuroscience 6 10%
Linguistics 1 2%
Nursing and Health Professions 1 2%
Other 6 10%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 October 2019.
All research outputs
#5,114,904
of 24,417,958 outputs
Outputs from NeuroMolecular Medicine
#133
of 466 outputs
Outputs of similar age
#83,619
of 320,837 outputs
Outputs of similar age from NeuroMolecular Medicine
#6
of 14 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 466 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 71% 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 320,837 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 73% of its contemporaries.
We're also able to compare this research output to 14 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 57% of its contemporaries.