↓ Skip to main content

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

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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
21 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
78 Mendeley
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.
Title
Protein Bioinformatics
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6783-4
ISBNs
978-1-4939-6781-0, 978-1-4939-6783-4
Editors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 24%
Student > Master 16 21%
Student > Bachelor 12 15%
Researcher 8 10%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 8 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 32%
Agricultural and Biological Sciences 15 19%
Chemistry 10 13%
Computer Science 6 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 9%
Unknown 13 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 06 May 2022.
All research outputs
#2,094,077
of 25,200,621 outputs
Outputs from Methods in molecular biology
#292
of 14,137 outputs
Outputs of similar age
#41,800
of 432,791 outputs
Outputs of similar age from Methods in molecular biology
#47
of 1,085 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,137 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 432,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1,085 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.