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Multiple Sequence Alignment Methods

Overview of attention for book
Cover of 'Multiple Sequence Alignment Methods'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Dynamic Programming
  3. Altmetric Badge
    Chapter 2 Heuristic Alignment Methods
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    Chapter 3 Objective Functions
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    Chapter 4 Who watches the watchmen? An appraisal of benchmarks for multiple sequence alignment.
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    Chapter 5 BLAST and FASTA Similarity Searching for Multiple Sequence Alignment
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    Chapter 6 Multiple Sequence Alignment Methods
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    Chapter 7 T-coffee: tree-based consistency objective function for alignment evaluation.
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    Chapter 8 MAFFT: Iterative Refinement and Additional Methods
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    Chapter 9 Multiple Sequence Alignment Methods
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    Chapter 10 Phylogeny-aware alignment with PRANK.
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    Chapter 11 GramAlign: Fast alignment driven by grammar-based phylogeny
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    Chapter 12 Multiple Sequence Alignment with DIALIGN
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    Chapter 13 PicXAA: A Probabilistic Scheme for Finding the Maximum Expected Accuracy Alignment of Multiple Biological Sequences
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    Chapter 14 Multiple Protein Sequence Alignment with MSAProbs
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    Chapter 15 Large-Scale Multiple Sequence Alignment and Tree Estimation Using SATé
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    Chapter 16 PRALINE: A Versatile Multiple Sequence Alignment Toolkit
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    Chapter 17 PROMALS3D: Multiple Protein Sequence Alignment Enhanced with Evolutionary and Three-Dimensional Structural Information
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    Chapter 18 MSACompro: Improving Multiple Protein Sequence Alignment by Predicted Structural Features
Attention for Chapter 17: PROMALS3D: Multiple Protein Sequence Alignment Enhanced with Evolutionary and Three-Dimensional Structural Information
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
82 Mendeley
citeulike
1 CiteULike
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Chapter title
PROMALS3D: Multiple Protein Sequence Alignment Enhanced with Evolutionary and Three-Dimensional Structural Information
Chapter number 17
Book title
Multiple Sequence Alignment Methods
Published in
Methods in molecular biology, August 2013
DOI 10.1007/978-1-62703-646-7_17
Pubmed ID
Book ISBNs
978-1-62703-645-0, 978-1-62703-646-7
Authors

Jimin Pei, Nick V. Grishin, Pei, Jimin, Grishin, Nick V.

Editors

David J Russell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Ukraine 1 1%
Norway 1 1%
Canada 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Researcher 16 20%
Student > Master 10 12%
Student > Bachelor 6 7%
Student > Doctoral Student 6 7%
Other 12 15%
Unknown 16 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 34%
Agricultural and Biological Sciences 21 26%
Chemistry 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Immunology and Microbiology 1 1%
Other 3 4%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2022.
All research outputs
#4,322,224
of 23,435,471 outputs
Outputs from Methods in molecular biology
#1,167
of 13,324 outputs
Outputs of similar age
#37,232
of 200,747 outputs
Outputs of similar age from Methods in molecular biology
#6
of 57 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 200,747 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 80% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.