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Bacterial Molecular Networks

Overview of attention for book
Cover of 'Bacterial Molecular Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Bacterial molecular networks: bridging the gap between functional genomics and dynamical modelling.
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    Chapter 2 Bacterial Interactomes: From Interactions to Networks
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    Chapter 3 Bacterial Molecular Networks
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    Chapter 4 Prokaryote genome fluidity: toward a system approach of the mobilome.
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    Chapter 5 Reticulate Classification of Mosaic Microbial Genomes Using NeAT Website
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    Chapter 6 From Metabolic Reactions to Networks and Pathways
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    Chapter 7 Predicting Metabolic Pathways by Sub-network Extraction
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    Chapter 8 Directed Module Detection in a Large-Scale Expression Compendium
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    Chapter 9 Using Phylogenetic Profiles to Predict Functional Relationships
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    Chapter 10 Extracting Regulatory Networks of Escherichia coli from RegulonDB
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    Chapter 11 Browsing Metabolic and Regulatory Networks with BioCyc
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    Chapter 12 Algorithms for Systematic Identification of Small Subgraphs
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    Chapter 13 The Degree Distribution of Networks: Statistical Model Selection
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    Chapter 14 MAVisto: A Tool for Biological Network Motif Analysis
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    Chapter 15 Using MCL to Extract Clusters from Networks
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    Chapter 16 Protein Complex Prediction with RNSC
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    Chapter 17 Network Analysis and Protein Function Prediction with the PRODISTIN Web Site
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    Chapter 18 Using the NeAT Toolbox to Compare Networks to Networks, Clusters to Clusters, and Network to Clusters
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    Chapter 19 Analyzing Biological Data Using R: Methods for Graphs and Networks
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    Chapter 20 Detecting Structural Invariants in Biological Reaction Networks
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    Chapter 21 Petri Nets in Snoopy: A Unifying Framework for the Graphical Display, Computational Modelling, and Simulation of Bacterial Regulatory Networks
  23. Altmetric Badge
    Chapter 22 Genetic Network Analyzer: A Tool for the Qualitative Modeling and Simulation of Bacterial Regulatory Networks
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    Chapter 23 Logical Modelling of Gene Regulatory Networks with GINsim.
  25. Altmetric Badge
    Chapter 24 Modelling the Evolution of Mutualistic Symbioses
  26. Altmetric Badge
    Chapter 25 Modelling the Onset of Virulence in Pathogenic Bacteria
  27. Altmetric Badge
    Chapter 26 Spatial and Stochastic Cellular Modeling with the Smoldyn Simulator
Attention for Chapter 4: Prokaryote genome fluidity: toward a system approach of the mobilome.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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2 X users
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3 Wikipedia pages

Citations

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23 Dimensions

Readers on

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111 Mendeley
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1 CiteULike
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Chapter title
Prokaryote genome fluidity: toward a system approach of the mobilome.
Chapter number 4
Book title
Bacterial Molecular Networks
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-361-5_4
Pubmed ID
Book ISBNs
978-1-61779-360-8, 978-1-61779-361-5
Authors

Ariane Toussaint, Mick Chandler, Toussaint, Ariane, Chandler, Mick

Abstract

The importance of horizontal/lateral gene transfer (LGT) in shaping the genomes of prokaryotic organisms has been recognized in recent years as a result of analysis of the increasing number of available genome sequences. LGT is largely due to the transfer and recombination activities of mobile genetic elements (MGEs). Bacterial and archaeal genomes are mosaics of vertically and horizontally transmitted DNA segments. This generates reticulate relationships between members of the prokaryotic world that are better represented by networks than by "classical" phylogenetic trees. In this review we summarize the nature and activities of MGEs, and the problems that presently limit their analysis on a large scale. We propose routes to improve their annotation in the flow of genomic and metagenomic sequences that currently exist and those that become available. We describe network analysis of evolutionary relationships among some MGE categories and sketch out possible developments of this type of approach to get more insight into the role of the mobilome in bacterial adaptation and evolution.

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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Brazil 3 3%
India 1 <1%
France 1 <1%
Russia 1 <1%
Denmark 1 <1%
Unknown 100 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 32%
Researcher 19 17%
Student > Master 14 13%
Student > Bachelor 6 5%
Student > Postgraduate 5 5%
Other 15 14%
Unknown 16 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 41%
Biochemistry, Genetics and Molecular Biology 25 23%
Computer Science 6 5%
Immunology and Microbiology 5 5%
Environmental Science 3 3%
Other 4 4%
Unknown 22 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 October 2021.
All research outputs
#6,559,532
of 23,943,619 outputs
Outputs from Methods in molecular biology
#1,940
of 13,532 outputs
Outputs of similar age
#57,153
of 250,278 outputs
Outputs of similar age from Methods in molecular biology
#125
of 487 outputs
Altmetric has tracked 23,943,619 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,532 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 85% 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 250,278 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 76% of its contemporaries.
We're also able to compare this research output to 487 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 74% of its contemporaries.