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Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas

Overview of attention for article published in Nature Genetics, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
14 news outlets
twitter
14 X users
patent
19 patents
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
695 Dimensions

Readers on

mendeley
472 Mendeley
citeulike
4 CiteULike
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Title
Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas
Published in
Nature Genetics, April 2013
DOI 10.1038/ng.2611
Pubmed ID
Abstract

The most common pediatric brain tumors are low-grade gliomas (LGGs). We used whole-genome sequencing to identify multiple new genetic alterations involving BRAF, RAF1, FGFR1, MYB, MYBL1 and genes with histone-related functions, including H3F3A and ATRX, in 39 LGGs and low-grade glioneuronal tumors (LGGNTs). Only a single non-silent somatic alteration was detected in 24 of 39 (62%) tumors. Intragenic duplications of the portion of FGFR1 encoding the tyrosine kinase domain (TKD) and rearrangements of MYB were recurrent and mutually exclusive in 53% of grade II diffuse LGGs. Transplantation of Trp53-null neonatal astrocytes expressing FGFR1 with the duplication involving the TKD into the brains of nude mice generated high-grade astrocytomas with short latency and 100% penetrance. FGFR1 with the duplication induced FGFR1 autophosphorylation and upregulation of the MAPK/ERK and PI3K pathways, which could be blocked by specific inhibitors. Focusing on the therapeutically challenging diffuse LGGs, our study of 151 tumors has discovered genetic alterations and potential therapeutic targets across the entire range of pediatric LGGs and LGGNTs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Japan 3 <1%
France 2 <1%
Canada 2 <1%
Korea, Republic of 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Norway 1 <1%
Czechia 1 <1%
Other 6 1%
Unknown 449 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 105 22%
Student > Ph. D. Student 68 14%
Student > Master 44 9%
Student > Postgraduate 39 8%
Student > Bachelor 37 8%
Other 96 20%
Unknown 83 18%
Readers by discipline Count As %
Medicine and Dentistry 133 28%
Agricultural and Biological Sciences 108 23%
Biochemistry, Genetics and Molecular Biology 73 15%
Neuroscience 18 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 1%
Other 34 7%
Unknown 101 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 124. 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 05 March 2024.
All research outputs
#341,984
of 25,837,817 outputs
Outputs from Nature Genetics
#640
of 7,639 outputs
Outputs of similar age
#2,257
of 214,593 outputs
Outputs of similar age from Nature Genetics
#11
of 70 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done particularly well, scoring higher than 91% 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 214,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.