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Assemblathon 1: A competitive assessment of de novo short read assembly methods

Overview of attention for article published in Genome Research, September 2011
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
9 blogs
twitter
44 X users
patent
7 patents
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
googleplus
2 Google+ users
reddit
1 Redditor
f1000
1 research highlight platform

Readers on

mendeley
1150 Mendeley
citeulike
45 CiteULike
Article details
Title
Assemblathon 1: A competitive assessment of de novo short read assembly methods
Published in
Genome Research, September 2011
DOI 10.1101/gr.126599.111
Pubmed ID
Authors
Abstract

Low-cost short read sequencing technology has revolutionized genomics, though it is only just becoming practical for the high-quality de novo assembly of a novel large genome. We describe the Assemblathon 1 competition, which aimed to comprehensively assess the state of the art in de novo assembly methods when applied to current sequencing technologies. In a collaborative effort, teams were asked to assemble a simulated Illumina HiSeq data set of an unknown, simulated diploid genome. A total of 41 assemblies from 17 different groups were received. Novel haplotype aware assessments of coverage, contiguity, structure, base calling, and copy number were made. We establish that within this benchmark: (1) It is possible to assemble the genome to a high level of coverage and accuracy, and that (2) large differences exist between the assemblies, suggesting room for further improvements in current methods. The simulated benchmark, including the correct answer, the assemblies, and the code that was used to evaluate the assemblies is now public and freely available from http://www.assemblathon.org/.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 1,150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 45 4%
Germany 17 1%
United Kingdom 15 1%
France 8 <1%
Brazil 8 <1%
Spain 7 <1%
Canada 7 <1%
Sweden 6 <1%
Denmark 5 <1%
Other 53 5%
Unknown 979 85%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 291 25%
Student > Ph. D. Student 265 23%
Student > Master 161 14%
Student > Bachelor 83 7%
Professor > Associate Professor 60 5%
Other 200 17%
Unknown 90 8%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 653 57%
Biochemistry, Genetics and Molecular Biology 173 15%
Computer Science 108 9%
Medicine and Dentistry 17 1%
Environmental Science 16 1%
Other 70 6%
Unknown 113 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 25 June 2024.
All research outputs
#600,877
of 34,196,186 outputs
Outputs from Genome Research
#124
of 5,068 outputs
Outputs of similar age
#1,921
of 163,949 outputs
Outputs of similar age from Genome Research
#3
of 58 outputs
Altmetric has tracked 34,196,186 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,068 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done particularly well, scoring higher than 97% 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 163,949 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 98% of its contemporaries.
We're also able to compare this research output to 58 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 94% of its contemporaries.