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Protein Bioinformatics

Overview of attention for book
Cover of 'Protein Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Protein Bioinformatics Databases and Resources
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    Chapter 2 UniProt Protein Knowledgebase
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    Chapter 3 Tutorial on Protein Ontology Resources
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    Chapter 4 CATH-Gene3D: Generation of the Resource and Its Use in Obtaining Structural and Functional Annotations for Protein Sequences
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    Chapter 5 Structure-Based Virtual Screening
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    Chapter 6 Bioinformatics Analysis of Protein Phosphorylation in Plant Systems Biology Using P3DB
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    Chapter 7 Navigating the Glycome Space and Connecting the Glycoproteome
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    Chapter 8 Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins
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    Chapter 9 Analysis of Cysteine Redox Post-Translational Modifications in Cell Biology and Drug Pharmacology
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    Chapter 10 Analysis of Protein Phosphorylation and Its Functional Impact on Protein–Protein Interactions via Text Mining of the Scientific Literature
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    Chapter 11 Functional Interaction Network Construction and Analysis for Disease Discovery
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    Chapter 12 Prediction of Protein Interactions by Structural Matching: Prediction of PPI Networks and the Effects of Mutations on PPIs that Combines Sequence and Structural Information
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    Chapter 13 NDEx: A Community Resource for Sharing and Publishing of Biological Networks
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    Chapter 14 Bioinformatics Analysis of Functional Associations of PTMs
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    Chapter 15 Bioinformatics Analysis of PTM-Modified Protein Interaction Networks and Complexes
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    Chapter 16 iPTMnet: Integrative Bioinformatics for Studying PTM Networks
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    Chapter 17 Protein Identification from Tandem Mass Spectra by Database Searching
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    Chapter 18 Bioinformatics Analysis of Top-Down Mass Spectrometry Data with ProSight Lite
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    Chapter 19 Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines
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    Chapter 20 Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-Level Functional Networks
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    Chapter 21 Computational and Statistical Methods for High-Throughput Mass Spectrometry-Based PTM Analysis
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    Chapter 22 Cross-Species PTM Mapping from Phosphoproteomic Data
Attention for Chapter 13: NDEx: A Community Resource for Sharing and Publishing of Biological Networks
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Chapter title
NDEx: A Community Resource for Sharing and Publishing of Biological Networks
Chapter number 13
Book title
Protein Bioinformatics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6783-4_13
Pubmed ID
Book ISBNs
978-1-4939-6781-0, 978-1-4939-6783-4
Authors

Rudolf T. Pillich, Jing Chen, Vladimir Rynkov, David Welker, Dexter Pratt

Editors

Cathy H. Wu, Cecilia N. Arighi, Karen E. Ross

Abstract

Networks are a powerful and flexible paradigm that facilitate communication and computation about interactions of any type, whether social, economic, or biological. NDEx, the Network Data Exchange, is an online commons to enable new modes of collaboration and publication using biological networks. NDEx creates an access point and interface to a broad range of networks, whether they express molecular interactions, curated relationships from literature, or the outputs of systematic analysis of big data. Research organizations can use NDEx as a distribution channel for networks they generate or curate. Developers of bioinformatic applications can store and query NDEx networks via a common programmatic interface. NDEx can also facilitate the integration of networks as data in electronic publications, thus making a step toward an ecosystem in which networks bearing data, hypotheses, and findings flow seamlessly between scientists.

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

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 8 17%
Student > Bachelor 6 13%
Librarian 2 4%
Student > Postgraduate 2 4%
Other 7 15%
Unknown 12 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 7 15%
Agricultural and Biological Sciences 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 2 4%
Other 8 17%
Unknown 13 28%
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 23 February 2017.
All research outputs
#14,329,603
of 22,952,268 outputs
Outputs from Methods in molecular biology
#4,211
of 13,137 outputs
Outputs of similar age
#229,544
of 420,286 outputs
Outputs of similar age from Methods in molecular biology
#382
of 1,176 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 420,286 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,176 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 63% of its contemporaries.