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Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Overview of attention for article published in Genome Biology, April 2013
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
58 X users
patent
5 patents
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
386 Dimensions

Readers on

mendeley
680 Mendeley
citeulike
5 CiteULike
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Title
Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity
Published in
Genome Biology, April 2013
DOI 10.1186/gb-2013-14-4-r31
Pubmed ID
Authors

Yohei Sasagawa, Itoshi Nikaido, Tetsutaro Hayashi, Hiroki Danno, Kenichiro D Uno, Takeshi Imai, Hiroki R Ueda

Abstract

Development of a highly reproducible and sensitive single-cell RNA sequencing (RNA-seq) method would facilitate the understanding of the biological roles and underlying mechanisms of non-genetic cellular heterogeneity. In this study, we report a novel single-cell RNA-seq method called Quartz-Seq that has a simpler protocol and higher reproducibility and sensitivity than existing methods. We show that single-cell Quartz-Seq can quantitatively detect various kinds of non-genetic cellular heterogeneity, and can detect different cell types and different cell-cycle phases of a single cell type. Moreover, this method can comprehensively reveal gene-expression heterogeneity between single cells of the same cell type in the same cell-cycle phase.

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 680 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
Japan 7 1%
United Kingdom 3 <1%
France 2 <1%
Sweden 2 <1%
South Africa 2 <1%
Austria 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Other 7 1%
Unknown 637 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 183 27%
Student > Ph. D. Student 143 21%
Student > Master 75 11%
Student > Bachelor 50 7%
Student > Doctoral Student 32 5%
Other 112 16%
Unknown 85 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 289 43%
Biochemistry, Genetics and Molecular Biology 166 24%
Medicine and Dentistry 39 6%
Neuroscience 25 4%
Computer Science 19 3%
Other 50 7%
Unknown 92 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 04 January 2024.
All research outputs
#640,062
of 25,411,814 outputs
Outputs from Genome Biology
#398
of 4,472 outputs
Outputs of similar age
#4,296
of 209,636 outputs
Outputs of similar age from Genome Biology
#9
of 46 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 209,636 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 97% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.