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Statistical Genomics

Overview of attention for book
Cover of 'Statistical Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multi-omics Data Deconvolution and Integration: New Methods, Insights, and Translational Implications
  3. Altmetric Badge
    Chapter 2 Statistical and Machine Learning Methods for Discovering Prognostic Biomarkers for Survival Outcomes
  4. Altmetric Badge
    Chapter 3 Cell-Type Deconvolution of Bulk DNA Methylation Data with EpiSCORE
  5. Altmetric Badge
    Chapter 4 Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper
  6. Altmetric Badge
    Chapter 5 Statistical Methods for Integrative Clustering of Multi-omics Data
  7. Altmetric Badge
    Chapter 6 Analysis of Single-Cell RNA-seq Data
  8. Altmetric Badge
    Chapter 7 A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data
  9. Altmetric Badge
    Chapter 8 Statistical Analysis of Multiplex Immunofluorescence and Immunohistochemistry Imaging Data
  10. Altmetric Badge
    Chapter 9 Statistical Analysis in ChIP-seq-Related Applications
  11. Altmetric Badge
    Chapter 10 Bioinformatic and Statistical Analysis of Microbiome Data
  12. Altmetric Badge
    Chapter 11 Statistical and Computational Methods for Microbial Strain Analysis
  13. Altmetric Badge
    Chapter 12 Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis
  14. Altmetric Badge
    Chapter 13 Statistical and Computational Methods for Proteogenomic Data Analysis
  15. Altmetric Badge
    Chapter 14 Pharmacogenomic and Statistical Analysis
  16. Altmetric Badge
    Chapter 15 Statistical Methods for Disease Risk Prediction with Genotype Data
  17. Altmetric Badge
    Chapter 16 Statistical Methods Inspired by Challenges in Pediatric Cancer Multi-omics
Attention for Chapter 10: Bioinformatic and Statistical Analysis of Microbiome Data
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 blog
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26 X users

Readers on

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27 Mendeley
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Chapter title
Bioinformatic and Statistical Analysis of Microbiome Data
Chapter number 10
Book title
Statistical Genomics
Published in
Methods in molecular biology, March 2023
DOI 10.1007/978-1-0716-2986-4_10
Pubmed ID
Book ISBNs
978-1-07-162985-7, 978-1-07-162986-4
Authors

Youngchul Kim, Kim, Youngchul

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 6 22%
Other 3 11%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 8 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 26%
Biochemistry, Genetics and Molecular Biology 4 15%
Environmental Science 3 11%
Computer Science 3 11%
Immunology and Microbiology 2 7%
Other 1 4%
Unknown 7 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 24 March 2023.
All research outputs
#1,637,332
of 25,984,008 outputs
Outputs from Methods in molecular biology
#201
of 14,488 outputs
Outputs of similar age
#34,456
of 440,936 outputs
Outputs of similar age from Methods in molecular biology
#1
of 113 outputs
Altmetric has tracked 25,984,008 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 14,488 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 440,936 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 92% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.