↓ Skip to main content

Cancer Systems Biology

Overview of attention for book
Cover of 'Cancer Systems Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detection of Combinatorial Mutational Patterns in Human Cancer Genomes by Exclusivity Analysis
  3. Altmetric Badge
    Chapter 2 Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data
  4. Altmetric Badge
    Chapter 3 Analyzing DNA Methylation Patterns During Tumor Evolution
  5. Altmetric Badge
    Chapter 4 MicroRNA Networks in Breast Cancer Cells
  6. Altmetric Badge
    Chapter 5 Identifying Genetic Dependencies in Cancer by Analyzing siRNA Screens in Tumor Cell Line Panels
  7. Altmetric Badge
    Chapter 6 Phosphoproteomics-Based Profiling of Kinase Activities in Cancer Cells
  8. Altmetric Badge
    Chapter 7 Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
  9. Altmetric Badge
    Chapter 8 Quantitative Analysis of Tyrosine Kinase Signaling Across Differentially Embedded Human Glioblastoma Tumors
  10. Altmetric Badge
    Chapter 9 Prediction of Clinical Endpoints in Breast Cancer Using NMR Metabolic Profiles
  11. Altmetric Badge
    Chapter 10 Stochastic and Deterministic Models for the Metastatic Emission Process: Formalisms and Crosslinks
  12. Altmetric Badge
    Chapter 11 Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details
  13. Altmetric Badge
    Chapter 12 Profiling Tumor Infiltrating Immune Cells with CIBERSORT
  14. Altmetric Badge
    Chapter 13 Systems Biology Approaches in Cancer Pathology
  15. Altmetric Badge
    Chapter 14 Bioinformatics Approaches to Predict Drug Responses from Genomic Sequencing
  16. Altmetric Badge
    Chapter 15 A Robust Optimization Approach to Cancer Treatment under Toxicity Uncertainty
  17. Altmetric Badge
    Chapter 16 Modeling of Interactions between Cancer Stem Cells and their Microenvironment: Predicting Clinical Response
  18. Altmetric Badge
    Chapter 17 Methods for High-throughput Drug Combination Screening and Synergy Scoring
Attention for Chapter 7: Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
14 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
640 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
Chapter number 7
Book title
Cancer Systems Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7493-1_7
Pubmed ID
Book ISBNs
978-1-4939-7492-4, 978-1-4939-7493-1
Authors

Stefka Tyanova, Juergen Cox

Abstract

Mass spectrometry-based proteomics is a continuously growing field marked by technological and methodological improvements. Cancer proteomics is aimed at pursuing goals such as accurate diagnosis, patient stratification, and biomarker discovery, relying on the richness of information of quantitative proteome profiles. Translating these high-dimensional data into biological findings of clinical importance necessitates the use of robust and powerful computational tools and methods. In this chapter, we provide a detailed description of standard analysis steps for a clinical proteomics dataset performed in Perseus, a software for functional analysis of large-scale quantitative omics data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 640 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 640 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 148 23%
Researcher 102 16%
Student > Master 82 13%
Student > Bachelor 61 10%
Student > Doctoral Student 34 5%
Other 66 10%
Unknown 147 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 213 33%
Agricultural and Biological Sciences 114 18%
Chemistry 33 5%
Medicine and Dentistry 19 3%
Immunology and Microbiology 18 3%
Other 68 11%
Unknown 175 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 May 2018.
All research outputs
#2,092,453
of 23,016,919 outputs
Outputs from Methods in molecular biology
#341
of 13,165 outputs
Outputs of similar age
#50,611
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#16
of 1,498 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 442,354 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 1,498 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 98% of its contemporaries.