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Genome alignment with graph data structures: a comparison

Overview of attention for article published in BMC Bioinformatics, April 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
43 X users
patent
5 patents
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
193 Mendeley
citeulike
2 CiteULike
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Title
Genome alignment with graph data structures: a comparison
Published in
BMC Bioinformatics, April 2014
DOI 10.1186/1471-2105-15-99
Pubmed ID
Authors

Birte Kehr, Kathrin Trappe, Manuel Holtgrewe, Knut Reinert

Abstract

Recent advances in rapid, low-cost sequencing have opened up the opportunity to study complete genome sequences. The computational approach of multiple genome alignment allows investigation of evolutionarily related genomes in an integrated fashion, providing a basis for downstream analyses such as rearrangement studies and phylogenetic inference.Graphs have proven to be a powerful tool for coping with the complexity of genome-scale sequence alignments. The potential of graphs to intuitively represent all aspects of genome alignments led to the development of graph-based approaches for genome alignment. These approaches construct a graph from a set of local alignments, and derive a genome alignment through identification and removal of graph substructures that indicate errors in the alignment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Germany 2 1%
United Kingdom 2 1%
Norway 1 <1%
Australia 1 <1%
Sweden 1 <1%
Colombia 1 <1%
Netherlands 1 <1%
South Africa 1 <1%
Other 2 1%
Unknown 173 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 25%
Student > Ph. D. Student 30 16%
Student > Bachelor 24 12%
Student > Master 24 12%
Other 16 8%
Other 32 17%
Unknown 18 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 36%
Computer Science 53 27%
Biochemistry, Genetics and Molecular Biology 33 17%
Arts and Humanities 3 2%
Medicine and Dentistry 3 2%
Other 11 6%
Unknown 21 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 07 November 2023.
All research outputs
#1,080,645
of 25,706,302 outputs
Outputs from BMC Bioinformatics
#82
of 7,735 outputs
Outputs of similar age
#10,355
of 242,091 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 118 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 242,091 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 95% of its contemporaries.
We're also able to compare this research output to 118 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 98% of its contemporaries.