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Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks

Overview of attention for article published in Genome Medicine, August 2017
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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29 X users

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58 Mendeley
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Title
Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks
Published in
Genome Medicine, August 2017
DOI 10.1186/s13073-017-0464-7
Pubmed ID
Authors

Zeynep Kalender Atak, Hana Imrichova, Dmitry Svetlichnyy, Gert Hulselmans, Valerie Christiaens, Joke Reumers, Hugo Ceulemans, Stein Aerts

Abstract

The identification of functional non-coding mutations is a key challenge in the field of genomics. Here we introduce μ-cisTarget to filter, annotate and prioritize cis-regulatory mutations based on their putative effect on the underlying "personal" gene regulatory network. We validated μ-cisTarget by re-analyzing the TAL1 and LMO1 enhancer mutations in T-ALL, and the TERT promoter mutation in melanoma. Next, we re-sequenced the full genomes of ten cancer cell lines and used matched transcriptome data and motif discovery to identify master regulators with de novo binding sites that result in the up-regulation of nearby oncogenic drivers. μ-cisTarget is available from http://mucistarget.aertslab.org .

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Researcher 13 22%
Student > Master 12 21%
Other 6 10%
Student > Bachelor 1 2%
Other 4 7%
Unknown 7 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 36%
Agricultural and Biological Sciences 15 26%
Computer Science 6 10%
Engineering 3 5%
Medicine and Dentistry 2 3%
Other 3 5%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 01 November 2018.
All research outputs
#2,305,518
of 25,610,986 outputs
Outputs from Genome Medicine
#510
of 1,599 outputs
Outputs of similar age
#42,313
of 324,152 outputs
Outputs of similar age from Genome Medicine
#10
of 24 outputs
Altmetric has tracked 25,610,986 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 68% 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 324,152 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 24 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 62% of its contemporaries.