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OMACC: an Optical-Map-Assisted Contig Connector for improving de novo genome assembly

Overview of attention for article published in BMC Systems Biology, December 2013
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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10 X users
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1 Google+ user

Citations

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4 Dimensions

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25 Mendeley
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Title
OMACC: an Optical-Map-Assisted Contig Connector for improving de novo genome assembly
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-s6-s7
Pubmed ID
Authors

Yi-Min Chen, Chun-Hui Yu, Chi-Chuan Hwang, Tsunglin Liu

Abstract

Genome sequencing and assembly are essential for revealing the secrets of life hidden in genomes. Because of repeats in most genomes, current programs collate sequencing data into a set of assembled sequences, called contigs, instead of a complete genome. Toward completing a genome, optical mapping is powerful in rendering the relative order of contigs on the genome, which is called scaffolding. However, connecting the neighboring contigs with nucleotide sequences requires further efforts. Nagarajian et al. have recently proposed a software module, FINISH, to close the gaps between contigs with other contig sequences after scaffolding contigs using an optical map. The results, however, are not yet satisfying.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 8%
Netherlands 2 8%
Taiwan 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Bachelor 5 20%
Student > Ph. D. Student 4 16%
Other 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 60%
Computer Science 4 16%
Engineering 2 8%
Earth and Planetary Sciences 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 November 2014.
All research outputs
#4,449,624
of 22,738,543 outputs
Outputs from BMC Systems Biology
#134
of 1,142 outputs
Outputs of similar age
#53,596
of 307,376 outputs
Outputs of similar age from BMC Systems Biology
#4
of 61 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 88% 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 307,376 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 61 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 93% of its contemporaries.