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MBASED: allele-specific expression detection in cancer tissues and cell lines

Overview of attention for article published in Genome Biology, August 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
2 blogs
twitter
18 X users
googleplus
1 Google+ user

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
185 Mendeley
citeulike
4 CiteULike
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Title
MBASED: allele-specific expression detection in cancer tissues and cell lines
Published in
Genome Biology, August 2014
DOI 10.1186/s13059-014-0405-3
Pubmed ID
Authors

Oleg Mayba, Houston N Gilbert, Jinfeng Liu, Peter M Haverty, Suchit Jhunjhunwala, Zhaoshi Jiang, Colin Watanabe, Zemin Zhang

Abstract

Allele-specific gene expression, ASE, is an important aspect of gene regulation. We developed a novel method MBASED, meta-analysis based allele-specific expression detection for ASE detection using RNA-seq data that aggregates information across multiple single nucleotide variation loci to obtain a gene-level measure of ASE, even when prior phasing information is unavailable. MBASED is capable of one-sample and two-sample analyses and performs well in simulations. We applied MBASED to a panel of cancer cell lines and paired tumor-normal tissue samples, and observed extensive ASE in cancer, but not normal, samples, mainly driven by genomic copy number alterations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 2 1%
Netherlands 1 <1%
Belgium 1 <1%
Unknown 175 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 31%
Researcher 36 19%
Student > Master 21 11%
Professor > Associate Professor 10 5%
Other 10 5%
Other 29 16%
Unknown 22 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 39%
Biochemistry, Genetics and Molecular Biology 44 24%
Computer Science 16 9%
Medicine and Dentistry 9 5%
Mathematics 8 4%
Other 9 5%
Unknown 26 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 19 October 2014.
All research outputs
#1,681,098
of 25,371,288 outputs
Outputs from Genome Biology
#1,371
of 4,467 outputs
Outputs of similar age
#16,725
of 241,596 outputs
Outputs of similar age from Genome Biology
#14
of 87 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 69% 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 241,596 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 93% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.