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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 Managing Sequence Data
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    Chapter 2 RNA Structure Determination by NMR
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    Chapter 3 Protein Structure Determination by X-Ray Crystallography
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    Chapter 4 Pre-Processing of Microarray Data and Analysis of Differential Expression
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    Chapter 5 Developing an ontology.
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    Chapter 6 Genome Annotation
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    Chapter 7 Multiple Sequence Alignment
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    Chapter 8 Finding Genes in Genome Sequence
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    Chapter 9 Bioinformatics detection of alternative splicing.
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    Chapter 10 Reconstruction of Full-Length Isoforms from Splice Graphs
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    Chapter 11 Sequence Segmentation
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    Chapter 12 Discovering sequence motifs.
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    Chapter 13 Modeling sequence evolution.
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    Chapter 14 Inferring trees.
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    Chapter 15 Detecting the Presence and Location of Selection in Proteins
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    Chapter 16 Phylogenetic Model Evaluation
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    Chapter 17 Inferring Ancestral Gene Order
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    Chapter 18 Genome Rearrangement by the Double Cut and Join Operation
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    Chapter 19 Inferring Ancestral Protein Interaction Networks
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    Chapter 20 Computational Tools for the Analysis of Rearrangements in Mammalian Genomes
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    Chapter 21 Detecting Lateral Genetic Transfer
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    Chapter 22 Detecting Genetic Recombination
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    Chapter 23 Inferring Patterns of Migration
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    Chapter 24 Fixed-Parameter Algorithms in Phylogenetics
Attention for Chapter 9: Bioinformatics detection of alternative splicing.
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
48 Mendeley
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4 CiteULike
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Chapter title
Bioinformatics detection of alternative splicing.
Chapter number 9
Book title
Bioinformatics
Published in
Methods in molecular biology, June 2008
DOI 10.1007/978-1-60327-159-2_9
Pubmed ID
Book ISBNs
978-1-58829-707-5, 978-1-60327-159-2
Authors

Kim N, Lee C, Namshin Kim, Christopher Lee, Kim, Namshin, Lee, Christopher

Abstract

In recent years, genome-wide detection of alternative splicing based on Expressed Sequence Tag (EST) sequence alignments with mRNA and genomic sequences has dramatically expanded our understanding of the role of alternative splicing in functional regulation. This chapter reviews the data, methodology, and technical challenges of these genome-wide analyses of alternative splicing, and briefly surveys some of the uses to which such alternative splicing databases have been put. For example, with proper alternative splicing database schema design, it is possible to query genome-wide for alternative splicing patterns that are specific to particular tissues, disease states (e.g., cancer), gender, or developmental stages. EST alignments can be used to estimate exon inclusion or exclusion level of alternatively spliced exons and evolutionary changes for various species can be inferred from exon inclusion level. Such databases can also help automate design of probes for RT-PCR and microarrays, enabling high throughput experimental measurement of alternative splicing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Portugal 1 2%
Austria 1 2%
United Kingdom 1 2%
Brazil 1 2%
Russia 1 2%
Argentina 1 2%
Unknown 39 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 11 23%
Student > Master 10 21%
Professor > Associate Professor 3 6%
Student > Bachelor 3 6%
Other 6 13%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 54%
Biochemistry, Genetics and Molecular Biology 10 21%
Computer Science 3 6%
Psychology 3 6%
Neuroscience 2 4%
Other 3 6%
Unknown 1 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 June 2020.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Methods in molecular biology
#2,316
of 13,094 outputs
Outputs of similar age
#28,558
of 82,367 outputs
Outputs of similar age from Methods in molecular biology
#2
of 8 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 82,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.