↓ Skip to main content

Comprehensive comparison of graph based multiple protein sequence alignment strategies

Overview of attention for article published in BMC Bioinformatics, April 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
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.
Title
Comprehensive comparison of graph based multiple protein sequence alignment strategies
Published in
BMC Bioinformatics, April 2012
DOI 10.1186/1471-2105-13-64
Pubmed ID
Authors

Ilya Plyusnin, Liisa Holm

Abstract

Alignment of protein sequences (MPSA) is the starting point for a multitude of applications in molecular biology. Here, we present a novel MPSA program based on the SeqAn sequence alignment library. Our implementation has a strict modular structure, which allows to swap different components of the alignment process and, thus, to investigate their contribution to the alignment quality and computation time. We systematically varied information sources, guiding trees, score transformations and iterative refinement options, and evaluated the resulting alignments on BAliBASE and SABmark.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Spain 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Researcher 8 20%
Student > Master 6 15%
Student > Bachelor 3 8%
Professor 2 5%
Other 8 20%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 57%
Computer Science 9 23%
Biochemistry, Genetics and Molecular Biology 3 8%
Business, Management and Accounting 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 5%
Unknown 1 3%

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 03 May 2012.
All research outputs
#7,762,552
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#3,174
of 4,576 outputs
Outputs of similar age
#64,758
of 117,648 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 42 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 117,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.