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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 1: UNAFold: software for nucleic acid folding and hybridization.
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

patent
3 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
439 Mendeley
citeulike
9 CiteULike
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2 Connotea
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Chapter title
UNAFold: software for nucleic acid folding and hybridization.
Chapter number 1
Book title
Bioinformatics
Published in
Methods in molecular biology, August 2008
DOI 10.1007/978-1-60327-429-6_1
Pubmed ID
Book ISBNs
978-1-60327-428-9, 978-1-60327-429-6
Authors

Nicholas R. Markham, Michael Zuker, Markham, Nicholas R., Zuker, Michael

Abstract

The UNAFold software package is an integrated collection of programs that simulate folding, hybridization, and melting pathways for one or two single-stranded nucleic acid sequences. The name is derived from "Unified Nucleic Acid Folding." Folding (secondary structure) prediction for single-stranded RNA or DNA combines free energy minimization, partition function calculations and stochastic sampling. For melting simulations, the package computes entire melting profiles, not just melting temperatures. UV absorbance at 260 nm, heat capacity change (C(p)), and mole fractions of different molecular species are computed as a function of temperature. The package installs and runs on all Unix and Linux platforms that we have looked at, including Mac OS X. Images of secondary structures, hybridizations, and dot plots may be computed using common formats. Similarly, a variety of melting profile plots is created when appropriate. These latter plots include experimental results if they are provided. The package is "command line" driven. Underlying compiled programs may be used individually, or in special combinations through the use of a variety of Perl scripts. Users are encouraged to create their own scripts to supplement what comes with the package. This evolving software is available for download at http://www.bioinfo.rpi.edu/applications/hybrid/download.php .

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 439 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 4%
Japan 5 1%
Canada 5 1%
Germany 3 <1%
France 2 <1%
South Africa 2 <1%
Belgium 2 <1%
Spain 2 <1%
Brazil 1 <1%
Other 8 2%
Unknown 392 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 24%
Researcher 86 20%
Student > Master 53 12%
Student > Bachelor 44 10%
Student > Doctoral Student 24 5%
Other 55 13%
Unknown 70 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 172 39%
Biochemistry, Genetics and Molecular Biology 83 19%
Computer Science 27 6%
Engineering 19 4%
Chemistry 17 4%
Other 45 10%
Unknown 76 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 February 2024.
All research outputs
#3,546,708
of 24,127,528 outputs
Outputs from Methods in molecular biology
#850
of 13,611 outputs
Outputs of similar age
#10,704
of 89,039 outputs
Outputs of similar age from Methods in molecular biology
#1
of 7 outputs
Altmetric has tracked 24,127,528 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,611 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 89,039 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 84% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them