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Metassembler: merging and optimizing de novo genome assemblies

Overview of attention for article published in Genome Biology, September 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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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50 X users
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1 Facebook page
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1 Google+ user

Citations

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96 Dimensions

Readers on

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248 Mendeley
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2 CiteULike
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Title
Metassembler: merging and optimizing de novo genome assemblies
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0764-4
Pubmed ID
Authors

Alejandro Hernandez Wences, Michael C. Schatz

Abstract

Genome assembly projects typically run multiple algorithms in an attempt to find the single best assembly, although those assemblies often have complementary, if untapped, strengths and weaknesses. We present our metassembler algorithm that merges multiple assemblies of a genome into a single superior sequence. We apply it to the four genomes from the Assemblathon competitions and show it consistently and substantially improves the contiguity and quality of each assembly. We also develop guidelines for meta-assembly by systematically evaluating 120 permutations of merging the top 5 assemblies of the first Assemblathon competition. The software is open-source at http://metassembler.sourceforge.net .

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 2 <1%
Norway 2 <1%
France 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Ireland 1 <1%
Portugal 1 <1%
Australia 1 <1%
Other 7 3%
Unknown 227 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 80 32%
Researcher 58 23%
Student > Master 28 11%
Student > Bachelor 14 6%
Other 11 4%
Other 34 14%
Unknown 23 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 52%
Biochemistry, Genetics and Molecular Biology 56 23%
Computer Science 15 6%
Immunology and Microbiology 4 2%
Chemical Engineering 3 1%
Other 12 5%
Unknown 28 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 September 2023.
All research outputs
#1,453,543
of 25,420,980 outputs
Outputs from Genome Biology
#1,165
of 4,472 outputs
Outputs of similar age
#20,219
of 286,020 outputs
Outputs of similar age from Genome Biology
#29
of 83 outputs
Altmetric has tracked 25,420,980 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 4,472 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 gotten more attention than average, scoring higher than 73% 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 286,020 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 92% of its contemporaries.
We're also able to compare this research output to 83 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 66% of its contemporaries.