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Applicable advances in the molecular pathology of glioblastoma

Overview of attention for article published in Brain Tumor Pathology, June 2015
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Title
Applicable advances in the molecular pathology of glioblastoma
Published in
Brain Tumor Pathology, June 2015
DOI 10.1007/s10014-015-0224-6
Pubmed ID
Authors

Melissa Ranjit, Kazuya Motomura, Fumiharu Ohka, Toshihiko Wakabayashi, Atsushi Natsume

Abstract

Comprising more than 80 % of malignant brain tumors, glioma has proven to be a daunting cause of mortality in a vast majority of the human population. Progressive and extensive research on malignant glioma has substantially enhanced our understanding of glioma cell biology and molecular pathology. Subtypes of glioma such as astrocytoma and oligodendroglioma are currently grouped together into one pathological class, where they show many differences in histology and molecular etiology. This indicates that it may be beneficial to consider a new and radical subclassification. Thus, we summarize recent developments in glioblastoma multiforme (GBM) subtypes, immunohistochemical analyses useful for diagnoses and the biological evaluation and therapeutic implications of gliomas in this review.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 16%
Student > Ph. D. Student 6 12%
Researcher 5 10%
Professor > Associate Professor 5 10%
Student > Master 5 10%
Other 10 20%
Unknown 11 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 7 14%
Medicine and Dentistry 7 14%
Neuroscience 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 6%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 June 2015.
All research outputs
#18,416,517
of 22,813,792 outputs
Outputs from Brain Tumor Pathology
#95
of 169 outputs
Outputs of similar age
#172,115
of 239,954 outputs
Outputs of similar age from Brain Tumor Pathology
#2
of 2 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 169 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 239,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.