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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 (Online Edition), 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
61 tweeters
patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
295 Dimensions

Readers on

mendeley
634 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 (Online Edition), 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.

Twitter Demographics

The data shown below were collected from the profiles of 61 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 634 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%
South Africa 2 <1%
Sweden 2 <1%
Brazil 1 <1%
Australia 1 <1%
Austria 1 <1%
Other 7 1%
Unknown 591 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 177 28%
Student > Ph. D. Student 139 22%
Student > Master 70 11%
Student > Bachelor 50 8%
Professor > Associate Professor 31 5%
Other 114 18%
Unknown 53 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 287 45%
Biochemistry, Genetics and Molecular Biology 157 25%
Medicine and Dentistry 38 6%
Neuroscience 22 3%
Engineering 18 3%
Other 49 8%
Unknown 63 10%

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 08 June 2021.
All research outputs
#440,570
of 19,518,114 outputs
Outputs from Genome Biology (Online Edition)
#339
of 3,845 outputs
Outputs of similar age
#3,329
of 170,421 outputs
Outputs of similar age from Genome Biology (Online Edition)
#4
of 36 outputs
Altmetric has tracked 19,518,114 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 3,845 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. 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 170,421 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 36 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 91% of its contemporaries.