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DNA-methylation profiling discloses significant advantages over NanoString method for molecular classification of medulloblastoma

Overview of attention for article published in Acta Neuropathologica, October 2017
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40 Mendeley
Title
DNA-methylation profiling discloses significant advantages over NanoString method for molecular classification of medulloblastoma
Published in
Acta Neuropathologica, October 2017
DOI 10.1007/s00401-017-1776-9
Pubmed ID
Authors

Andrey Korshunov, Lukas Chavez, Paul A. Northcott, Tanvi Sharma, Marina Ryzhova, David T. W. Jones, Andreas von Deimling, Stefan M. Pfister, Marcel Kool

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The data shown below were collected from the profile of 1 X user 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Other 5 13%
Researcher 5 13%
Student > Master 4 10%
Student > Bachelor 3 8%
Other 3 8%
Unknown 12 30%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Biochemistry, Genetics and Molecular Biology 7 18%
Agricultural and Biological Sciences 4 10%
Psychology 1 3%
Computer Science 1 3%
Other 2 5%
Unknown 16 40%
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 October 2017.
All research outputs
#20,449,496
of 23,005,189 outputs
Outputs from Acta Neuropathologica
#2,289
of 2,377 outputs
Outputs of similar age
#284,316
of 325,897 outputs
Outputs of similar age from Acta Neuropathologica
#20
of 21 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,377 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 1st percentile – i.e., 1% 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 325,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.