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The prognostic role of intragenic copy number breakpoints and identification of novel fusion genes in paediatric high grade glioma

Overview of attention for article published in Acta Neuropathologica Communications, February 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
4 tweeters

Citations

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14 Dimensions

Readers on

mendeley
35 Mendeley
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Title
The prognostic role of intragenic copy number breakpoints and identification of novel fusion genes in paediatric high grade glioma
Published in
Acta Neuropathologica Communications, February 2014
DOI 10.1186/2051-5960-2-23
Pubmed ID
Authors

Diana Carvalho, Alan Mackay, Lynn Bjerke, Richard G Grundy, Celeste Lopes, Rui M Reis, Chris Jones

Abstract

Paediatric high grade glioma (pHGG) is a distinct biological entity to histologically similar tumours arising in older adults, and has differing copy number profiles and driver genetic alterations. As functionally important intragenic copy number aberrations (iCNA) and fusion genes begin to be identified in adult HGG, the same has not yet been done in the childhood setting. We applied an iCNA algorithm to our previously published dataset of DNA copy number profiling in pHGG with a view to identify novel intragenic breakpoints.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Other 5 14%
Student > Doctoral Student 5 14%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Other 5 14%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Agricultural and Biological Sciences 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Neuroscience 5 14%
Computer Science 1 3%
Other 3 9%
Unknown 5 14%

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 20 February 2014.
All research outputs
#1,934,393
of 4,505,992 outputs
Outputs from Acta Neuropathologica Communications
#90
of 186 outputs
Outputs of similar age
#44,804
of 111,932 outputs
Outputs of similar age from Acta Neuropathologica Communications
#11
of 26 outputs
Altmetric has tracked 4,505,992 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 186 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 50% 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 111,932 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 59% of its contemporaries.
We're also able to compare this research output to 26 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.