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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 2: Statistical and Machine Learning Methods for Discovering Prognostic Biomarkers for Survival Outcomes
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users

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mendeley
5 Mendeley
Summary X
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Chapter title
Statistical and Machine Learning Methods for Discovering Prognostic Biomarkers for Survival Outcomes
Chapter number 2
Book title
Statistical Genomics
Published in
Methods in molecular biology, March 2023
DOI 10.1007/978-1-0716-2986-4_2
Pubmed ID
36929071
Book ISBNs
978-1-07-162985-7, 978-1-07-162986-4
Authors

Sijie Yao, Xuefeng Wang, Yao, Sijie, Wang, Xuefeng

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Medicine and Dentistry 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 March 2023.
All research outputs
#15,714,370
of 23,953,397 outputs
Outputs from Methods in molecular biology
#4,984
of 13,534 outputs
Outputs of similar age
#232,002
of 429,633 outputs
Outputs of similar age from Methods in molecular biology
#24
of 108 outputs
Altmetric has tracked 23,953,397 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,534 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 58% 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 429,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.

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