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Computational Systems Biology

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identification of cis -Regulatory Elements in Gene Co-expression Networks Using A-GLAM
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    Chapter 2 Structure-Based Ab Initio Prediction of Transcription Factor–Binding Sites
  4. Altmetric Badge
    Chapter 3 Inferring Protein–Protein Interactions from Multiple Protein Domain Combinations
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    Chapter 4 Prediction of Protein–Protein Interactions: A Study of the Co-evolution Model
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    Chapter 5 Computational Reconstruction of Protein–Protein Interaction Networks: Algorithms and Issues
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    Chapter 6 Prediction and Integration of Regulatory and Protein–Protein Interactions
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    Chapter 7 Detecting hierarchical modularity in biological networks.
  9. Altmetric Badge
    Chapter 8 Methods to Reconstruct and Compare Transcriptional Regulatory Networks
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    Chapter 9 Learning Global Models of Transcriptional Regulatory Networks from Data
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    Chapter 10 Inferring Molecular Interactions Pathways from eQTL Data
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    Chapter 11 Methods for the Inference of Biological Pathways and Networks
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    Chapter 12 Exploring Pathways from Gene Co-expression to Network Dynamics
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    Chapter 13 Network Dynamics
  15. Altmetric Badge
    Chapter 14 Kinetic Modeling of Biological Systems
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    Chapter 15 Guidance for Data Collection and Computational Modelling of Regulatory Networks
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    Chapter 16 A Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure
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    Chapter 17 Enzyme Function Prediction with Interpretable Models
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    Chapter 18 Using Evolutionary Information to Find Specificity-Determining and Co-evolving Residues
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    Chapter 19 Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics
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    Chapter 20 Effects of Functional Bias on Supervised Learning of a Gene Network Model
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    Chapter 21 Comparing Algorithms for Clustering of Expression Data: How to Assess Gene Clusters
  23. Altmetric Badge
    Chapter 22 The Bioverse API and Web Application
  24. Altmetric Badge
    Chapter 23 Computational Representation of Biological Systems
  25. Altmetric Badge
    Chapter 24 Biological Network Inference and Analysis Using SEBINI and CABIN
Attention for Chapter 14: Kinetic Modeling of Biological Systems
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
169 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Chapter title
Kinetic Modeling of Biological Systems
Chapter number 14
Book title
Computational Systems Biology
Published in
Methods in molecular biology, November 2015
DOI 10.1007/978-1-59745-243-4_14
Pubmed ID
Book ISBNs
978-1-58829-905-5, 978-1-59745-243-4
Authors

Haluk Resat, Linda Petzold, Michel F. Pettigrew, Resat, Haluk, Petzold, Linda, Pettigrew, Michel F.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Germany 2 1%
France 2 1%
Spain 2 1%
South Africa 1 <1%
Czechia 1 <1%
Colombia 1 <1%
China 1 <1%
United States 1 <1%
Other 0 0%
Unknown 155 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 31%
Researcher 28 17%
Student > Master 14 8%
Student > Bachelor 12 7%
Professor 10 6%
Other 24 14%
Unknown 28 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 27%
Biochemistry, Genetics and Molecular Biology 24 14%
Computer Science 15 9%
Engineering 14 8%
Mathematics 6 4%
Other 29 17%
Unknown 36 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 October 2023.
All research outputs
#4,103,264
of 24,682,395 outputs
Outputs from Methods in molecular biology
#1,009
of 13,873 outputs
Outputs of similar age
#54,069
of 290,912 outputs
Outputs of similar age from Methods in molecular biology
#4
of 11 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,873 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 290,912 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 81% of its contemporaries.
We're also able to compare this research output to 11 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.