↓ Skip to main content
What is this page? Embed badge

Gene Regulatory Networks

Overview of attention for book
Cover of 'Gene Regulatory Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Gene Regulatory Network Inference: An Introductory Survey
  3. Altmetric Badge
    Chapter 2 Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks
  4. Altmetric Badge
    Chapter 3 Overview and Evaluation of Recent Methods for Statistical Inference of Gene Regulatory Networks from Time Series Data
  5. Altmetric Badge
    Chapter 4 Whole-Transcriptome Causal Network Inference with Genomic and Transcriptomic Data
  6. Altmetric Badge
    Chapter 5 Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks
  7. Altmetric Badge
    Chapter 6 A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer
  8. Altmetric Badge
    Chapter 7 Integrative Approaches for Inference of Genome-Scale Gene Regulatory Networks
  9. Altmetric Badge
    Chapter 8 Unsupervised Gene Network Inference with Decision Trees and Random Forests
  10. Altmetric Badge
    Chapter 9 Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3
  11. Altmetric Badge
    Chapter 10 Network Inference from Single-Cell Transcriptomic Data
  12. Altmetric Badge
    Chapter 11 Inferring Gene Regulatory Networks from Multiple Datasets
  13. Altmetric Badge
    Chapter 12 Unsupervised GRN Ensemble
  14. Altmetric Badge
    Chapter 13 Learning Differential Module Networks Across Multiple Experimental Conditions
  15. Altmetric Badge
    Chapter 14 Stability in GRN Inference
  16. Altmetric Badge
    Chapter 15 Gene Regulatory Networks: A Primer in Biological Processes and Statistical Modelling
  17. Altmetric Badge
    Chapter 16 Scalable Inference of Ordinary Differential Equation Models of Biochemical Processes
Attention for Chapter 13: Learning Differential Module Networks Across Multiple Experimental Conditions
Altmetric Badge

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 (72nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
19 Mendeley
Summary X Dimensions citations
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
Learning Differential Module Networks Across Multiple Experimental Conditions
Chapter number 13
Book title
Gene Regulatory Networks
Published in
arXiv, December 2018
DOI 10.1007/978-1-4939-8882-2_13
Pubmed ID
30547406
Book ISBNs
978-1-4939-8881-5, 978-1-4939-8882-2
Authors

Pau Erola, Eric Bonnet, Tom Michoel, Erola, Pau, Bonnet, Eric, Michoel, Tom

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Ph. D. Student 2 11%
Professor 2 11%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 7 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 32%
Computer Science 2 11%
Arts and Humanities 1 5%
Agricultural and Biological Sciences 1 5%
Social Sciences 1 5%
Other 2 11%
Unknown 6 32%
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 11 June 2019.
All research outputs
#13,573,826
of 23,008,860 outputs
Outputs from arXiv
#230,771
of 943,957 outputs
Outputs of similar age
#214,557
of 436,141 outputs
Outputs of similar age from arXiv
#6,467
of 25,204 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,957 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 436,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,204 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.

This page is provided by Altmetric.