↓ Skip to main content

Genome assembly forensics: finding the elusive mis-assembly

Overview of attention for article published in Genome Biology (Online Edition), January 2008
Altmetric Badge

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)

Mentioned by

blogs
1 blog
twitter
13 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
214 Dimensions

Readers on

mendeley
422 Mendeley
citeulike
23 CiteULike
connotea
2 Connotea
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
Genome assembly forensics: finding the elusive mis-assembly
Published in
Genome Biology (Online Edition), January 2008
DOI 10.1186/gb-2008-9-3-r55
Pubmed ID
Authors

Adam M Phillippy, Michael C Schatz, Mihai Pop

Abstract

We present the first collection of tools aimed at automated genome assembly validation. This work formalizes several mechanisms for detecting mis-assemblies, and describes their implementation in our automated validation pipeline, called amosvalidate. We demonstrate the application of our pipeline in both bacterial and eukaryotic genome assemblies, and highlight several assembly errors in both draft and finished genomes. The software described is compatible with common assembly formats and is released, open-source, at http://amos.sourceforge.net.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 422 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 4%
United Kingdom 8 2%
Germany 5 1%
Brazil 5 1%
Switzerland 3 <1%
Norway 3 <1%
Chile 2 <1%
Sweden 2 <1%
Argentina 2 <1%
Other 13 3%
Unknown 361 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 116 27%
Student > Ph. D. Student 103 24%
Student > Master 58 14%
Student > Bachelor 27 6%
Student > Doctoral Student 24 6%
Other 74 18%
Unknown 20 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 265 63%
Biochemistry, Genetics and Molecular Biology 58 14%
Computer Science 46 11%
Engineering 4 <1%
Environmental Science 4 <1%
Other 21 5%
Unknown 24 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 19 July 2021.
All research outputs
#1,285,747
of 18,422,743 outputs
Outputs from Genome Biology (Online Edition)
#1,250
of 3,724 outputs
Outputs of similar age
#6,793
of 106,630 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,422,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 66% 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 106,630 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them