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Protein-Protein Interaction Networks

Overview of attention for book
Cover of 'Protein-Protein Interaction Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Predicting Protein–Protein Interactions Using SPRINT
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    Chapter 2 Automated Extraction and Visualization of Protein–Protein Interaction Networks and Beyond: A Text-Mining Protocol
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    Chapter 3 Construction of Functional Protein Networks Using Domain Profile Associations
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    Chapter 4 Reconstruction of Protein–Protein Interaction Networks Using Homology-Based Search: Application to the Autophagy Pathway of Aging in Podospora anserina
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    Chapter 5 Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching
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    Chapter 6 A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning
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    Chapter 7 Visual Analysis of Protein–Protein Interaction Docking Models Using COZOID Tool
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    Chapter 8 Path-LZerD: Predicting Assembly Order of Multimeric Protein Complexes
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    Chapter 9 Embedding Alternative Conformations of Proteins in Protein–Protein Interaction Networks
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    Chapter 10 Informed Use of Protein–Protein Interaction Data: A Focus on the Integrated Interactions Database (IID)
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    Chapter 11 Generation and Interpretation of Context-Specific Human Protein–Protein Interaction Networks with HIPPIE
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    Chapter 12 Explore Protein–Protein Interactions for Cancer Target Discovery Using the OncoPPi Portal
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    Chapter 13 Perform Pathway Enrichment Analysis Using ReactomeFIViz
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    Chapter 14 De Novo Pathway Enrichment with KeyPathwayMiner
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    Chapter 15 De Novo Pathway-Based Classification of Breast Cancer Subtypes
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    Chapter 16 Vienna Graph Clustering
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    Chapter 17 On TD-WGcluster: Theoretical Foundations and Guidelines for the User
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    Chapter 18 An Introductory Guide to Aligning Networks Using SANA, the Simulated Annealing Network Aligner
Attention for Chapter 18: An Introductory Guide to Aligning Networks Using SANA, the Simulated Annealing Network Aligner
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

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mendeley
4 Mendeley
Summary X
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Chapter title
An Introductory Guide to Aligning Networks Using SANA, the Simulated Annealing Network Aligner
Chapter number 18
Book title
Protein-Protein Interaction Networks
Published in
arXiv, October 2019
DOI 10.1007/978-1-4939-9873-9_18
Pubmed ID
31583643
Book ISBNs
978-1-4939-9872-2, 978-1-4939-9873-9
Authors

Wayne B. Hayes, Hayes, Wayne B.

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Researcher 1 25%
Student > Ph. D. Student 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 75%
Medicine and Dentistry 1 25%
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 25 November 2019.
All research outputs
#15,583,130
of 23,166,665 outputs
Outputs from arXiv
#379,457
of 953,683 outputs
Outputs of similar age
#215,931
of 350,006 outputs
Outputs of similar age from arXiv
#12,514
of 28,833 outputs
Altmetric has tracked 23,166,665 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 953,683 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 53% 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 350,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,833 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 50% of its contemporaries.

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