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Proteome Bioinformatics

Overview of attention for book
Cover of 'Proteome Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Proteome Bioinformatics.
  3. Altmetric Badge
    Chapter 2 Proteomic Data Storage and Sharing.
  4. Altmetric Badge
    Chapter 3 Choosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data.
  5. Altmetric Badge
    Chapter 4 Label-Based and Label-Free Strategies for Protein Quantitation.
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    Chapter 5 TMT One-Stop Shop: From Reliable Sample Preparation to Computational Analysis Platform.
  7. Altmetric Badge
    Chapter 6 Unassigned MS/MS Spectra: Who Am I?
  8. Altmetric Badge
    Chapter 7 Methods to Calculate Spectrum Similarity.
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    Chapter 8 Proteotypic Peptides and Their Applications.
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    Chapter 9 Statistical Evaluation of Labeled Comparative Profiling Proteomics Experiments Using Permutation Test.
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    Chapter 10 De Novo Peptide Sequencing: Deep Mining of High-Resolution Mass Spectrometry Data.
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    Chapter 11 Phylogenetic Analysis Using Protein Mass Spectrometry.
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    Chapter 12 Bioinformatics Methods to Deduce Biological Interpretation from Proteomics Data.
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    Chapter 13 A Systematic Bioinformatics Approach to Identify High Quality Mass Spectrometry Data and Functionally Annotate Proteins and Proteomes.
  15. Altmetric Badge
    Chapter 14 Network Tools for the Analysis of Proteomic Data.
  16. Altmetric Badge
    Chapter 15 Determining the Significance of Protein Network Features and Attributes Using Permutation Testing.
  17. Altmetric Badge
    Chapter 16 Bioinformatics Tools and Resources for Analyzing Protein Structures.
  18. Altmetric Badge
    Chapter 17 In Silico Approach to Identify Potential Inhibitors for Axl-Gas6 Signaling.
Overall attention for this book and its chapters
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
patent
1 patent
facebook
1 Facebook page

Readers on

mendeley
30 Mendeley
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Title
Proteome Bioinformatics
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6740-7
ISBNs
978-1-4939-6738-4, 978-1-4939-6740-7
Editors

Shivakumar Keerthikumar, Suresh Mathivanan

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 33%
Researcher 5 17%
Student > Doctoral Student 3 10%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 23%
Agricultural and Biological Sciences 6 20%
Medicine and Dentistry 3 10%
Immunology and Microbiology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 13%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 December 2022.
All research outputs
#2,414,203
of 24,962,233 outputs
Outputs from Methods in molecular biology
#400
of 14,033 outputs
Outputs of similar age
#47,916
of 432,279 outputs
Outputs of similar age from Methods in molecular biology
#58
of 1,082 outputs
Altmetric has tracked 24,962,233 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,033 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 432,279 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 88% of its contemporaries.
We're also able to compare this research output to 1,082 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 94% of its contemporaries.