↓ Skip to main content

Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads

Overview of attention for article published in Genome Biology, March 2018
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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
111 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
279 Mendeley
citeulike
1 CiteULike
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
Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads
Published in
Genome Biology, March 2018
DOI 10.1186/s13059-018-1407-3
Pubmed ID
Authors

Yohei Sasagawa, Hiroki Danno, Hitomi Takada, Masashi Ebisawa, Kaori Tanaka, Tetsutaro Hayashi, Akira Kurisaki, Itoshi Nikaido

Abstract

High-throughput single-cell RNA-seq methods assign limited unique molecular identifier (UMI) counts as gene expression values to single cells from shallow sequence reads and detect limited gene counts. We thus developed a high-throughput single-cell RNA-seq method, Quartz-Seq2, to overcome these issues. Our improvements in the reaction steps make it possible to effectively convert initial reads to UMI counts, at a rate of 30-50%, and detect more genes. To demonstrate the power of Quartz-Seq2, we analyzed approximately 10,000 transcriptomes from in vitro embryonic stem cells and an in vivo stromal vascular fraction with a limited number of reads.

X Demographics

X Demographics

The data shown below were collected from the profiles of 111 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 279 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 22%
Student > Ph. D. Student 43 15%
Student > Master 31 11%
Student > Bachelor 17 6%
Other 13 5%
Other 40 14%
Unknown 74 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 87 31%
Agricultural and Biological Sciences 53 19%
Medicine and Dentistry 11 4%
Neuroscience 10 4%
Computer Science 8 3%
Other 29 10%
Unknown 81 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 03 July 2023.
All research outputs
#559,079
of 25,576,275 outputs
Outputs from Genome Biology
#327
of 4,492 outputs
Outputs of similar age
#12,818
of 349,324 outputs
Outputs of similar age from Genome Biology
#4
of 45 outputs
Altmetric has tracked 25,576,275 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 4,492 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 92% 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 349,324 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 96% of its contemporaries.
We're also able to compare this research output to 45 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 93% of its contemporaries.