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Medulloblastoma: experimental models and reality

Overview of attention for article published in Acta Neuropathologica, July 2017
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Title
Medulloblastoma: experimental models and reality
Published in
Acta Neuropathologica, July 2017
DOI 10.1007/s00401-017-1753-3
Pubmed ID
Authors

Julia E. Neumann, Fredrik J. Swartling, Ulrich Schüller

Abstract

Medulloblastoma is the most frequent malignant brain tumor in childhood, but it may also affect infants, adolescents, and young adults. Recent advances in the understanding of the disease have shed light on molecular and clinical heterogeneity, which is now reflected in the updated WHO classification of brain tumors. At the same time, it is well accepted that preclinical research and clinical trials have to be subgroup-specific. Hence, valid models have to be generated specifically for every medulloblastoma subgroup to properly mimic molecular fingerprints, clinical features, and responsiveness to targeted therapies. This review summarizes the availability of experimental medulloblastoma models with a particular focus on how well these models reflect the actual disease subgroup. We further describe technical advantages and disadvantages of the models and finally point out how some models have successfully been used to introduce new drugs and why some medulloblastoma subgroups are extraordinary difficult to model.

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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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 8 11%
Student > Bachelor 7 10%
Student > Master 6 8%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 20 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 18%
Medicine and Dentistry 13 18%
Agricultural and Biological Sciences 11 15%
Neuroscience 6 8%
Computer Science 2 3%
Other 5 7%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 October 2017.
All research outputs
#13,561,653
of 22,990,068 outputs
Outputs from Acta Neuropathologica
#2,029
of 2,376 outputs
Outputs of similar age
#159,843
of 315,216 outputs
Outputs of similar age from Acta Neuropathologica
#33
of 37 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 14th percentile – i.e., 14% 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 315,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
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 is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.