↓ Skip to main content

Building the sequence map of the human pan-genome

Overview of attention for article published in Nature Biotechnology, January 2010
Altmetric Badge

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 (92nd percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
10 X users
wikipedia
5 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
226 Dimensions

Readers on

mendeley
393 Mendeley
citeulike
19 CiteULike
connotea
3 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
Building the sequence map of the human pan-genome
Published in
Nature Biotechnology, January 2010
DOI 10.1038/nbt.1596
Pubmed ID
Authors

Ruiqiang Li, Yingrui Li, Hancheng Zheng, Ruibang Luo, Hongmei Zhu, Qibin Li, Wubin Qian, Yuanyuan Ren, Geng Tian, Jinxiang Li, Guangyu Zhou, Xuan Zhu, Honglong Wu, Junjie Qin, Xin Jin, Dongfang Li, Hongzhi Cao, Xueda Hu, Hélène Blanche, Howard Cann, Xiuqing Zhang, Songgang Li, Lars Bolund, Karsten Kristiansen, Huanming Yang, Jun Wang, Jian Wang

Abstract

Here we integrate the de novo assembly of an Asian and an African genome with the NCBI reference human genome, as a step toward constructing the human pan-genome. We identified approximately 5 Mb of novel sequences not present in the reference genome in each of these assemblies. Most novel sequences are individual or population specific, as revealed by their comparison to all available human DNA sequence and by PCR validation using the human genome diversity cell line panel. We found novel sequences present in patterns consistent with known human migration paths. Cross-species conservation analysis of predicted genes indicated that the novel sequences contain potentially functional coding regions. We estimate that a complete human pan-genome would contain approximately 19-40 Mb of novel sequence not present in the extant reference genome. The extensive amount of novel sequence contributing to the genetic variation of the pan-genome indicates the importance of using complete genome sequencing and de novo assembly.

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 393 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 4%
United Kingdom 5 1%
Germany 4 1%
France 4 1%
Norway 3 <1%
China 3 <1%
Uruguay 2 <1%
Brazil 2 <1%
Netherlands 2 <1%
Other 11 3%
Unknown 341 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 113 29%
Student > Ph. D. Student 86 22%
Student > Bachelor 30 8%
Student > Master 29 7%
Professor > Associate Professor 19 5%
Other 71 18%
Unknown 45 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 216 55%
Biochemistry, Genetics and Molecular Biology 55 14%
Computer Science 23 6%
Medicine and Dentistry 14 4%
Engineering 7 2%
Other 24 6%
Unknown 54 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 13 September 2022.
All research outputs
#841,594
of 24,417,958 outputs
Outputs from Nature Biotechnology
#1,622
of 8,573 outputs
Outputs of similar age
#3,172
of 171,599 outputs
Outputs of similar age from Nature Biotechnology
#5
of 54 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.7. This one has done well, scoring higher than 81% 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 171,599 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 54 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 92% of its contemporaries.