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De novo assembly of a haplotype-resolved human genome

Overview of attention for article published in Nature Biotechnology, May 2015
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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

news
4 news outlets
blogs
3 blogs
twitter
136 X users
patent
4 patents
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
238 Mendeley
citeulike
6 CiteULike
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Title
De novo assembly of a haplotype-resolved human genome
Published in
Nature Biotechnology, May 2015
DOI 10.1038/nbt.3200
Pubmed ID
Authors

Hongzhi Cao, Honglong Wu, Ruibang Luo, Shujia Huang, Yuhui Sun, Xin Tong, Yinlong Xie, Binghang Liu, Hailong Yang, Hancheng Zheng, Jian Li, Bo Li, Yu Wang, Fang Yang, Peng Sun, Siyang Liu, Peng Gao, Haodong Huang, Jing Sun, Dan Chen, Guangzhu He, Weihua Huang, Zheng Huang, Yue Li, Laurent C A M Tellier, Xiao Liu, Qiang Feng, Xun Xu, Xiuqing Zhang, Lars Bolund, Anders Krogh, Karsten Kristiansen, Radoje Drmanac, Snezana Drmanac, Rasmus Nielsen, Songgang Li, Jian Wang, Huanming Yang, Yingrui Li, Gane Ka-Shu Wong, Jun Wang

Abstract

The human genome is diploid, and knowledge of the variants on each chromosome is important for the interpretation of genomic information. Here we report the assembly of a haplotype-resolved diploid genome without using a reference genome. Our pipeline relies on fosmid pooling together with whole-genome shotgun strategies, based solely on next-generation sequencing and hierarchical assembly methods. We applied our sequencing method to the genome of an Asian individual and generated a 5.15-Gb assembled genome with a haplotype N50 of 484 kb. Our analysis identified previously undetected indels and 7.49 Mb of novel coding sequences that could not be aligned to the human reference genome, which include at least six predicted genes. This haplotype-resolved genome represents the most complete de novo human genome assembly to date. Application of our approach to identify individual haplotype differences should aid in translating genotypes to phenotypes for the development of personalized medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 136 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 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
France 2 <1%
Netherlands 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Portugal 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Switzerland 1 <1%
Other 4 2%
Unknown 217 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 24%
Student > Ph. D. Student 54 23%
Other 22 9%
Student > Master 22 9%
Student > Bachelor 13 5%
Other 37 16%
Unknown 33 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 39%
Biochemistry, Genetics and Molecular Biology 66 28%
Computer Science 15 6%
Medicine and Dentistry 5 2%
Neuroscience 4 2%
Other 14 6%
Unknown 41 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 February 2020.
All research outputs
#316,568
of 25,284,710 outputs
Outputs from Nature Biotechnology
#737
of 8,784 outputs
Outputs of similar age
#3,283
of 273,560 outputs
Outputs of similar age from Nature Biotechnology
#7
of 107 outputs
Altmetric has tracked 25,284,710 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 8,784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done particularly well, scoring higher than 91% 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 273,560 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 107 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.