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Computational Biology

Overview of attention for book
Cover of 'Computational Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Sequencing and Genome Assembly Using Next-Generation Technologies
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    Chapter 2 RNA Structure Prediction
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    Chapter 3 Normalization of Gene-Expression Microarray Data
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    Chapter 4 Prediction of transmembrane topology and signal peptide given a protein's amino acid sequence.
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    Chapter 5 Protein Structure Modeling
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    Chapter 6 Template-Based Protein Structure Modeling
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    Chapter 7 Automated Protein NMR Structure Determination in Solution
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    Chapter 8 Computational Tools in Protein Crystallography
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    Chapter 9 3-D Structures of Macromolecules Using Single-Particle Analysis in EMAN
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    Chapter 10 Computational Design of Chimeric Protein Libraries for Directed Evolution
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    Chapter 11 Mass Spectrometric Protein Identification Using the Global Proteome Machine
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    Chapter 12 Unbiased Detection of Posttranslational Modifications Using Mass Spectrometry
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    Chapter 13 Protein quantitation using mass spectrometry.
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    Chapter 14 Modeling Experimental Design for Proteomics
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    Chapter 15 A Functional Proteomic Study of the Trypanosoma brucei Nuclear Pore Complex: An Informatic Strategy
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    Chapter 16 Inference of Signal Transduction Networks from Double Causal Evidence
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    Chapter 17 Reverse engineering gene regulatory networks related to quorum sensing in the plant pathogen Pectobacterium atrosepticum.
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    Chapter 18 Parameter Inference and Model Selection in Signaling Pathway Models
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    Chapter 19 Genetic Algorithms and Their Application to In Silico Evolution of Genetic Regulatory Networks
Attention for Chapter 13: Protein quantitation using mass spectrometry.
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Chapter title
Protein quantitation using mass spectrometry.
Chapter number 13
Book title
Computational Biology
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-842-3_13
Pubmed ID
Book ISBNs
978-1-60761-841-6, 978-1-60761-842-3
Authors

Zhang G, Ueberheide BM, Waldemarson S, Myung S, Molloy K, Eriksson J, Chait BT, Neubert TA, Fenyö D, Guoan Zhang, Beatrix M. Ueberheide, Sofia Waldemarson, Sunnie Myung, Kelly Molloy, Jan Eriksson, Brian T. Chait, Thomas A. Neubert, David Fenyö, Zhang, Guoan, Ueberheide, Beatrix M., Waldemarson, Sofia, Myung, Sunnie, Molloy, Kelly, Eriksson, Jan, Chait, Brian T., Neubert, Thomas A., Fenyö, David

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Malaysia 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Korea, Republic of 1 <1%
Philippines 1 <1%
Unknown 256 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 24%
Student > Master 45 17%
Student > Bachelor 43 16%
Researcher 31 12%
Professor > Associate Professor 8 3%
Other 26 10%
Unknown 49 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 72 27%
Agricultural and Biological Sciences 62 23%
Chemistry 25 9%
Pharmacology, Toxicology and Pharmaceutical Science 12 5%
Medicine and Dentistry 9 3%
Other 36 14%
Unknown 49 18%
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 08 November 2017.
All research outputs
#18,445,779
of 22,854,458 outputs
Outputs from Methods in molecular biology
#7,923
of 13,128 outputs
Outputs of similar age
#150,501
of 164,065 outputs
Outputs of similar age from Methods in molecular biology
#99
of 120 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 164,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.