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Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line

Overview of attention for article published in Giga Science, December 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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
twitter
12 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
Published in
Giga Science, December 2015
DOI 10.1186/s13742-015-0106-1
Pubmed ID
Authors

Audrey S. M. Teo, Davide Verzotto, Fei Yao, Niranjan Nagarajan, Axel M. Hillmer

Abstract

Next-generation sequencing (NGS) technologies have changed our understanding of the variability of the human genome. However, the identification of genome structural variations based on NGS approaches with read lengths of 35-300 bases remains a challenge. Single-molecule optical mapping technologies allow the analysis of DNA molecules of up to 2 Mb and as such are suitable for the identification of large-scale genome structural variations, and for de novo genome assemblies when combined with short-read NGS data. Here we present optical mapping data for two human genomes: the HapMap cell line GM12878 and the colorectal cancer cell line HCT116. High molecular weight DNA was obtained by embedding GM12878 and HCT116 cells, respectively, in agarose plugs, followed by DNA extraction under mild conditions. Genomic DNA was digested with KpnI and 310,000 and 296,000 DNA molecules (≥150 kb and 10 restriction fragments), respectively, were analyzed per cell line using the Argus optical mapping system. Maps were aligned to the human reference by OPTIMA, a new glocal alignment method. Genome coverage of 6.8× and 5.7× was obtained, respectively; 2.9× and 1.7× more than the coverage obtained with previously available software. Optical mapping allows the resolution of large-scale structural variations of the genome, and the scaffold extension of NGS-based de novo assemblies. OPTIMA is an efficient new alignment method; our optical mapping data provide a resource for genome structure analyses of the human HapMap reference cell line GM12878, and the colorectal cancer cell line HCT116.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 4%
Singapore 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 4 17%
Student > Bachelor 2 9%
Student > Master 2 9%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Agricultural and Biological Sciences 5 22%
Chemistry 3 13%
Medicine and Dentistry 2 9%
Computer Science 2 9%
Other 0 0%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 February 2016.
All research outputs
#2,014,862
of 25,374,917 outputs
Outputs from Giga Science
#395
of 1,168 outputs
Outputs of similar age
#33,592
of 399,590 outputs
Outputs of similar age from Giga Science
#8
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. 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 399,590 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 91% of its contemporaries.
We're also able to compare this research output to 22 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 63% of its contemporaries.