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stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage

Overview of attention for article published in Genome Biology, August 2017
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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2 blogs
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45 X users

Citations

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97 Dimensions

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144 Mendeley
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Title
stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage
Published in
Genome Biology, August 2017
DOI 10.1186/s13059-017-1277-0
Pubmed ID
Authors

Koen Van den Berge, Charlotte Soneson, Mark D. Robinson, Lieven Clement

Abstract

RNA sequencing studies with complex designs and transcript-resolution analyses involve multiple hypotheses per gene; however, conventional approaches fail to control the false discovery rate (FDR) at gene level. We propose stageR, a two-stage testing paradigm that leverages the increased power of aggregated gene-level tests and allows post hoc assessment for significant genes. This method provides gene-level FDR control and boosts power for testing interaction effects. In transcript-level analysis, it provides a framework that performs powerful gene-level tests while maintaining biological interpretation at transcript-level resolution. The procedure is applicable whenever individual hypotheses can be aggregated, providing a unified framework for complex high-throughput experiments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 25%
Student > Ph. D. Student 33 23%
Student > Master 20 14%
Student > Bachelor 10 7%
Other 5 3%
Other 11 8%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 29%
Biochemistry, Genetics and Molecular Biology 38 26%
Engineering 7 5%
Computer Science 4 3%
Medicine and Dentistry 4 3%
Other 17 12%
Unknown 32 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 12 April 2019.
All research outputs
#1,123,565
of 25,382,440 outputs
Outputs from Genome Biology
#831
of 4,468 outputs
Outputs of similar age
#22,734
of 327,745 outputs
Outputs of similar age from Genome Biology
#18
of 59 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 done well, scoring higher than 81% 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 327,745 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 59 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 69% of its contemporaries.