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Bioinformatics

Overview of attention for book
Cover of 'Bioinformatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 UNAFold: software for nucleic acid folding and hybridization.
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    Chapter 2 Protein Structure Prediction
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    Chapter 3 An Introduction to Protein Contact Prediction
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    Chapter 4 Analysis of Mass Spectrometry Data in Proteomics
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    Chapter 5 The Classification of Protein Domains
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    Chapter 6 Inferring Function from Homology
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    Chapter 7 The Rosetta Stone Method
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    Chapter 8 Inferring Functional Relationships from Conservation of Gene Order
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    Chapter 9 Phylogenetic Profiling
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    Chapter 10 Phylogenetic Shadowing
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    Chapter 11 Prediction of Regulatory Elements
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    Chapter 12 Expression and Microarrays
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    Chapter 13 Identifying Components of Complexes
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    Chapter 14 Integrating Functional Genomics Data
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    Chapter 15 Computational diagnostics with gene expression profiles
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    Chapter 16 Analysis of Quantitative Trait Loci
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    Chapter 17 Molecular Similarity Concepts and Search Calculations
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    Chapter 18 Optimization of the MAD Algorithm for Virtual Screening
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    Chapter 19 Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets
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    Chapter 20 Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods
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    Chapter 21 Developing Fixed-Parameter Algorithms to Solve Combinatorially Explosive Biological Problems
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    Chapter 22 Clustering
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    Chapter 23 Visualization
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    Chapter 24 Constructing Computational Pipelines
  26. Altmetric Badge
    Chapter 25 Text Mining
Attention for Chapter 15: Computational diagnostics with gene expression profiles
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Chapter title
Computational diagnostics with gene expression profiles
Chapter number 15
Book title
Bioinformatics
Published in
Methods in molecular biology, January 2008
DOI 10.1007/978-1-60327-429-6_15
Pubmed ID
Book ISBNs
978-1-60327-428-9, 978-1-60327-429-6
Authors

Lottaz, Claudio, Kostka, Dennis, Markowetz, Florian, Spang, Rainer, Lottaz C, Kostka D, Markowetz F, Spang R, Claudio Lottaz, Dennis Kostka, Florian Markowetz, Rainer Spang

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

Geographical breakdown

Country Count As %
United States 1 5%
Germany 1 5%
Brazil 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Master 4 19%
Student > Ph. D. Student 3 14%
Professor 2 10%
Student > Postgraduate 2 10%
Other 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 48%
Biochemistry, Genetics and Molecular Biology 3 14%
Computer Science 2 10%
Psychology 2 10%
Business, Management and Accounting 1 5%
Other 2 10%
Unknown 1 5%
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 07 September 2016.
All research outputs
#20,297,343
of 22,834,308 outputs
Outputs from Methods in molecular biology
#9,915
of 13,126 outputs
Outputs of similar age
#151,595
of 156,361 outputs
Outputs of similar age from Methods in molecular biology
#82
of 87 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 156,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.