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Teaser: Individualized benchmarking and optimization of read mapping results for NGS data

Overview of attention for article published in Genome Biology, October 2015
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
2 blogs
twitter
32 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
140 Mendeley
citeulike
1 CiteULike
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Title
Teaser: Individualized benchmarking and optimization of read mapping results for NGS data
Published in
Genome Biology, October 2015
DOI 10.1186/s13059-015-0803-1
Pubmed ID
Authors

Moritz Smolka, Philipp Rescheneder, Michael C. Schatz, Arndt von Haeseler, Fritz J. Sedlazeck

Abstract

Mapping reads to a genome remains challenging, especially for non-model organisms with lower quality assemblies, or for organisms with higher mutation rates. While most research has focused on speeding up the mapping process, little attention has been paid to optimize the choice of mapper and parameters for a user's dataset. Here, we present Teaser, a software that assists in these choices through rapid automated benchmarking of different mappers and parameter settings for individualized data. Within minutes, Teaser completes a quantitative evaluation of an ensemble of mapping algorithms and parameters. We use Teaser to demonstrate how Bowtie2 can be optimized for different data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
United Kingdom 2 1%
United States 2 1%
Norway 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Belgium 1 <1%
Germany 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 126 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 33%
Student > Ph. D. Student 41 29%
Student > Master 16 11%
Student > Bachelor 8 6%
Other 8 6%
Other 12 9%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 47%
Biochemistry, Genetics and Molecular Biology 35 25%
Computer Science 17 12%
Immunology and Microbiology 4 3%
Medicine and Dentistry 2 1%
Other 3 2%
Unknown 13 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 01 June 2022.
All research outputs
#1,295,601
of 25,371,288 outputs
Outputs from Genome Biology
#1,000
of 4,467 outputs
Outputs of similar age
#19,077
of 294,217 outputs
Outputs of similar age from Genome Biology
#26
of 88 outputs
Altmetric has tracked 25,371,288 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 77% 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 294,217 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 93% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.