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The mutational pattern of primary lymphoma of the central nervous system determined by whole-exome sequencing

Overview of attention for article published in Leukemia, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
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5 X users
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4 patents

Readers on

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118 Mendeley
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Article details
Title
The mutational pattern of primary lymphoma of the central nervous system determined by whole-exome sequencing
Published in
Leukemia, September 2014
DOI 10.1038/leu.2014.264
Pubmed ID
Authors
Abstract

To decipher the mutational pattern of primary CNS lymphoma (PCNSL) we performed whole exome-sequencing to a median coverage of 103x followed by mutation verification in 9 PCNSL and validation using Sanger sequencing in 22 PCNSL. We identified a median of 202 (range: 139-251) potentially somatic single nucleotide variants (SNV) and 14 small indels (range: 7-22) with potentially protein-changing features per PCNSL. Mutations affected the B cell receptor-, TLR-, and NF-κB-and genes involved in chromatin structure and modifications, cell cycle regulation or immune recognition. A median of 22.2% (range: 20.0%-24.7%) of somatic SNVs in the 9 PCNSL overlap with the RGYW motif targeted by somatic hypermutation (SHM); a median of 7.9% (range: 6.2%-12.6%) affect its hotspot position suggesting a major impact of SHM on PCNSL pathogenesis. In addition to well-known targets of aberrant SHM (PIM1) our data suggest new targets of aberrant SHM (KLHL14, OSBPL10, SUSD2). Among the four most frequently mutated genes was ODZ4 showing protein-changing mutations in 4/9 PCNSL. Together with mutations affecting CSMD2, CSMD3, and PTPRD these findings may suggest that alterations in genes playing a role in CNS development may facilitate DLBCL manifestation in the CNS. This may point to intriguing mechanisms of CNS tropism in PCNSL.Leukemia accepted article preview online, 05 September 2014. doi:10.1038/leu.2014.264.

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X Demographics

X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Taiwan 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 112 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Researcher 26 22%
Other 11 9%
Student > Doctoral Student 8 7%
Student > Bachelor 6 5%
Other 17 14%
Unknown 24 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 41 35%
Biochemistry, Genetics and Molecular Biology 20 17%
Agricultural and Biological Sciences 19 16%
Nursing and Health Professions 3 3%
Engineering 2 2%
Other 5 4%
Unknown 28 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 September 2021.
All research outputs
#1,901,219
of 24,003,070 outputs
Outputs from Leukemia
#412
of 5,213 outputs
Outputs of similar age
#20,197
of 241,848 outputs
Outputs of similar age from Leukemia
#4
of 70 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,213 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done particularly well, scoring higher than 92% 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 241,848 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 91% 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 particularly well, scoring higher than 94% of its contemporaries.