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Current Challenges in the Bioinformatics of Single Cell Genomics

Overview of attention for article published in Frontiers in oncology, January 2014
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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)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
18 X users
weibo
1 weibo user
wikipedia
3 Wikipedia pages

Readers on

mendeley
240 Mendeley
citeulike
4 CiteULike
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Title
Current Challenges in the Bioinformatics of Single Cell Genomics
Published in
Frontiers in oncology, January 2014
DOI 10.3389/fonc.2014.00007
Pubmed ID
Authors

Luwen Ning, Geng Liu, Guibo Li, Yong Hou, Yin Tong, Jiankui He

Abstract

Single cell genomics is a rapidly growing field with many new techniques emerging in the past few years. However, few bioinformatics tools specific for single cell genomics analysis are available. Single cell DNA/RNA sequencing data usually have low genome coverage and high amplification bias, which makes bioinformatics analysis challenging. Many current bioinformatics tools developed for bulk cell sequencing do not work well with single cell sequencing data. Here, we summarize current challenges in the bioinformatics analysis of single cell genomic DNA sequencing and single cell transcriptomes. These challenges include calling copy number variations, identifying mutated genes in tumor samples, reconstructing cell lineages, recovering low abundant transcripts, and improving the accuracy of quantitative analysis of transcripts. Development in single cell genomics bioinformatics analysis will promote the application of this technology to basic biology and medical research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Sweden 2 <1%
Germany 2 <1%
Belgium 2 <1%
Ghana 1 <1%
Italy 1 <1%
Czechia 1 <1%
Saudi Arabia 1 <1%
Argentina 1 <1%
Other 5 2%
Unknown 221 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 24%
Researcher 57 24%
Student > Master 31 13%
Student > Bachelor 17 7%
Other 14 6%
Other 43 18%
Unknown 20 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 116 48%
Biochemistry, Genetics and Molecular Biology 60 25%
Computer Science 12 5%
Medicine and Dentistry 12 5%
Immunology and Microbiology 5 2%
Other 13 5%
Unknown 22 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 07 December 2016.
All research outputs
#2,540,560
of 25,394,764 outputs
Outputs from Frontiers in oncology
#598
of 22,440 outputs
Outputs of similar age
#28,320
of 319,416 outputs
Outputs of similar age from Frontiers in oncology
#3
of 51 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 97% 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 319,416 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 51 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.