↓ Skip to main content

Computational Modeling of Signaling Networks

Overview of attention for book
Cover of 'Computational Modeling of Signaling Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Design Principles Underlying Robust Adaptation of Complex Biochemical Networks
  3. Altmetric Badge
    Chapter 2 Multi-Dimensional Analysis of Biochemical Network Dynamics Using pyDYVIPAC
  4. Altmetric Badge
    Chapter 3 A Practical Guide for the Efficient Formulation and Calibration of Large, Energy- and Rule-Based Models of Cellular Signal Transduction
  5. Altmetric Badge
    Chapter 4 Systems Biology: Identifiability Analysis and Parameter Identification via Systems-Biology-Informed Neural Networks
  6. Altmetric Badge
    Chapter 5 A Practical Guide to Reproducible Modeling for Biochemical Networks
  7. Altmetric Badge
    Chapter 6 Integrating Multi-Omics Data to Construct Reliable Interconnected Models of Signaling, Gene Regulatory, and Metabolic Pathways
  8. Altmetric Badge
    Chapter 7 Efficient Quantification of Extrinsic Fluctuations via Stochastic Simulations
  9. Altmetric Badge
    Chapter 8 Meta-Dynamic Network Modelling for Biochemical Networks
  10. Altmetric Badge
    Chapter 9 Rapid Particle-Based Simulations of Cellular Signalling with the FLAME-Accelerated Signalling Tool (FaST) and GPUs
  11. Altmetric Badge
    Chapter 10 Modeling Cellular Signaling Variability Based on Single-Cell Data: The TGFβ-SMAD Signaling Pathway
  12. Altmetric Badge
    Chapter 11 Quantitative Imaging Analysis of NF-κB for Mathematical Modeling Applications
  13. Altmetric Badge
    Chapter 12 Resolving Crosstalk Between Signaling Pathways Using Mathematical Modeling and Time-Resolved Single Cell Data
  14. Altmetric Badge
    Chapter 13 Live-Cell Sender-Receiver Co-cultures for Quantitative Measurement of Paracrine Signaling Dynamics, Gene Expression, and Drug Response.
  15. Altmetric Badge
    Chapter 14 Application of Optogenetics to Probe the Signaling Dynamics of Cell Fate Decision-Making
  16. Altmetric Badge
    Chapter 15 Computational Random Mutagenesis to Investigate RAS Mutant Signaling
  17. Altmetric Badge
    Chapter 16 Mathematically Modeling the Effect of Endocrine and Cdk4/6 Inhibitor Therapies on Breast Cancer Cells
  18. Altmetric Badge
    Chapter 17 SynDISCO: A Mechanistic Modeling-Based Framework for Predictive Prioritization of Synergistic Drug Combinations Targeting Cell Signalling Networks
Attention for Chapter 5: A Practical Guide to Reproducible Modeling for Biochemical Networks
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions
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
A Practical Guide to Reproducible Modeling for Biochemical Networks
Chapter number 5
Book title
Computational Modeling of Signaling Networks
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3008-2_5
Pubmed ID
Book ISBNs
978-1-07-163007-5, 978-1-07-163008-2
Authors

Porubsky, Veronica L., Sauro, Herbert M.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 May 2023.
All research outputs
#23,191,911
of 25,846,867 outputs
Outputs from Methods in molecular biology
#11,198
of 14,388 outputs
Outputs of similar age
#412,148
of 481,174 outputs
Outputs of similar age from Methods in molecular biology
#620
of 714 outputs
Altmetric has tracked 25,846,867 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,388 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 481,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 714 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.