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The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression

Overview of attention for article published in Bioinformatics, January 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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 blog
twitter
3 X users
patent
1 patent

Citations

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10 Dimensions

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26 Mendeley
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Title
The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression
Published in
Bioinformatics, January 2014
DOI 10.1093/bioinformatics/btu039
Pubmed ID
Authors

Iwona Pawlikowska, Gang Wu, Michael Edmonson, Zhifa Liu, Tanja Gruber, Jinghui Zhang, Stan Pounds

Abstract

Several outlier and subgroup identification statistics (OASIS) have been proposed to discover transcriptomic features with outliers or multiple modes in expression that are indicative of distinct biological processes or subgroups. Here, we borrow ideas from the OASIS methods in the bioinformatics and statistics literature to develop the 'most informative spacing test' (MIST) for unsupervised detection of such transcriptomic features. In an example application involving 14 cases of pediatric acute megakaryoblastic leukemia, MIST more robustly identified features that perfectly discriminate subjects according to gender or the presence of a prognostically relevant fusion-gene than did seven other OASIS methods in the analysis of RNA-seq exon expression, RNA-seq exon junction expression and micorarray exon expression data. MIST was also effective at identifying features related to gender or molecular subtype in an example application involving 157 adult cases of acute myeloid leukemia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 8%
Spain 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 31%
Student > Ph. D. Student 7 27%
Student > Master 5 19%
Student > Doctoral Student 2 8%
Other 2 8%
Other 1 4%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 31%
Biochemistry, Genetics and Molecular Biology 6 23%
Computer Science 3 12%
Nursing and Health Professions 2 8%
Immunology and Microbiology 1 4%
Other 4 15%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 11 May 2018.
All research outputs
#3,211,997
of 25,373,627 outputs
Outputs from Bioinformatics
#2,704
of 12,808 outputs
Outputs of similar age
#36,490
of 320,910 outputs
Outputs of similar age from Bioinformatics
#52
of 191 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,808 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 78% 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 320,910 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 88% of its contemporaries.
We're also able to compare this research output to 191 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 72% of its contemporaries.