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Computational studies of DNA sequencing with solid-state nanopores: key issues and future prospects

Overview of attention for article published in Frontiers in Chemistry, January 2014
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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3 X users

Citations

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Title
Computational studies of DNA sequencing with solid-state nanopores: key issues and future prospects
Published in
Frontiers in Chemistry, January 2014
DOI 10.3389/fchem.2014.00005
Pubmed ID
Authors

Lijun Liang, Qi Wang, Hans Ågren, Yaoquan Tu

Abstract

Owing to the potential use for real personalized genome sequencing, DNA sequencing with solid-state nanopores has been investigated intensively in recent time. However, the area still confronts problems and challenges. In this work, we present a brief overview of computational studies of key issues in DNA sequencing with solid-state nanopores by addressing the progress made in the last few years. We also highlight future challenges and prospects for DNA sequencing using this technology.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
United States 1 3%
Sweden 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 9 23%
Student > Master 7 18%
Student > Postgraduate 2 5%
Professor > Associate Professor 2 5%
Other 5 13%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 20%
Engineering 7 18%
Physics and Astronomy 5 13%
Chemistry 5 13%
Biochemistry, Genetics and Molecular Biology 4 10%
Other 6 15%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 May 2014.
All research outputs
#15,294,762
of 22,745,803 outputs
Outputs from Frontiers in Chemistry
#1,570
of 5,893 outputs
Outputs of similar age
#189,979
of 305,224 outputs
Outputs of similar age from Frontiers in Chemistry
#2
of 11 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,893 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 70% 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 305,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.