↓ Skip to main content

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

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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

2 news outlets
1 blog
3 tweeters
2 Wikipedia pages


35 Dimensions

Readers on

536 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Multiple Sequence Alignment Methods
Chapter number 6
Book title
Multiple Sequence Alignment Methods
Published in
Methods in molecular biology, August 2013
DOI 10.1007/978-1-62703-646-7_6
Pubmed ID
Book ISBNs
978-1-62703-645-0, 978-1-62703-646-7

Sievers F, Higgins DG, Sievers, Fabian, Higgins, Desmond G., Fabian Sievers, Desmond G. Higgins


David J Russell

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 536 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Germany 2 <1%
Indonesia 1 <1%
Brazil 1 <1%
Sri Lanka 1 <1%
Thailand 1 <1%
United States 1 <1%
Unknown 526 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 21%
Student > Bachelor 86 16%
Student > Master 81 15%
Researcher 68 13%
Student > Doctoral Student 37 7%
Other 61 11%
Unknown 93 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 176 33%
Agricultural and Biological Sciences 132 25%
Chemistry 22 4%
Immunology and Microbiology 18 3%
Medicine and Dentistry 16 3%
Other 61 11%
Unknown 111 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 18 May 2022.
All research outputs
of 22,472,572 outputs
Outputs from Methods in molecular biology
of 12,915 outputs
Outputs of similar age
of 178,825 outputs
Outputs of similar age from Methods in molecular biology
of 40 outputs
Altmetric has tracked 22,472,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,915 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 98% 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 178,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.