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An adaptive association test for microbiome data

Overview of attention for article published in Genome Medicine, May 2016
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
23 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
89 Mendeley
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Title
An adaptive association test for microbiome data
Published in
Genome Medicine, May 2016
DOI 10.1186/s13073-016-0302-3
Pubmed ID
Authors

Chong Wu, Jun Chen, Junghi Kim, Wei Pan

Abstract

There is increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. Although existing methods have identified many associations, a proper choice of a phylogenetic distance is critical for the power of these methods. To assess an overall association between the composition of a microbial community and an outcome of interest, we present a novel multivariate testing method called aMiSPU, that is joint and highly adaptive over all observed taxa and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real-data analyses demonstrated that the aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates. The R package MiSPU is available at https://github.com/ChongWu-Biostat/MiSPU and CRAN.

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 1 1%
India 1 1%
Brazil 1 1%
Japan 1 1%
Canada 1 1%
Unknown 81 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 19 21%
Student > Master 13 15%
Other 6 7%
Student > Doctoral Student 6 7%
Other 14 16%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 28%
Biochemistry, Genetics and Molecular Biology 16 18%
Computer Science 11 12%
Mathematics 10 11%
Medicine and Dentistry 5 6%
Other 11 12%
Unknown 11 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 23 August 2016.
All research outputs
#1,372,214
of 20,639,027 outputs
Outputs from Genome Medicine
#308
of 1,335 outputs
Outputs of similar age
#25,441
of 279,463 outputs
Outputs of similar age from Genome Medicine
#3
of 8 outputs
Altmetric has tracked 20,639,027 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 1,335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has done well, scoring higher than 76% 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 279,463 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 90% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.