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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 23% |
| Other | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 7 | 15% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Agricultural and Biological Sciences | 6 | 13% |
| Neuroscience | 6 | 13% |
| Computer Science | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |
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
#13,910,091
of 22,745,803 outputs
Outputs from Acta Neuropathologica Communications
#1,042
of 1,369 outputs
Outputs of similar age
#117,820
of 223,888 outputs
Outputs of similar age from Acta Neuropathologica Communications
#12
of 29 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 22nd percentile – i.e., 22% 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 223,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 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 58% of its contemporaries.