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Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos

Overview of attention for article published in Genome Biology, July 2015
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
patent
2 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
338 Dimensions

Readers on

mendeley
445 Mendeley
citeulike
1 CiteULike
Title
Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos
Published in
Genome Biology, July 2015
DOI 10.1186/s13059-015-0706-1
Pubmed ID
Authors

Xiaoying Fan, Xiannian Zhang, Xinglong Wu, Hongshan Guo, Yuqiong Hu, Fuchou Tang, Yanyi Huang

Abstract

Circular RNAs (circRNAs) are a new class of non-polyadenylated non-coding RNAs that may play important roles in many biological processes. Here we develop a single-cell universal poly(A)-independent RNA sequencing (SUPeR-seq) method to sequence both polyadenylated and non-polyadenylated RNAs from individual cells. This method exhibits robust sensitivity, precision and accuracy. We discover 2891 circRNAs and 913 novel linear transcripts in mouse preimplantation embryos and further analyze the abundance of circRNAs along development, the function of enriched genes, and sequence features of circRNAs. Our work is key to deciphering regulation mechanisms of circRNAs during mammalian early embryonic development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 445 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Japan 2 <1%
United Kingdom 2 <1%
Sweden 1 <1%
Iran, Islamic Republic of 1 <1%
Italy 1 <1%
Denmark 1 <1%
Austria 1 <1%
Mexico 1 <1%
Other 1 <1%
Unknown 431 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 119 27%
Researcher 78 18%
Student > Master 53 12%
Student > Bachelor 33 7%
Student > Postgraduate 19 4%
Other 56 13%
Unknown 87 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 139 31%
Biochemistry, Genetics and Molecular Biology 130 29%
Medicine and Dentistry 20 4%
Neuroscience 16 4%
Computer Science 10 2%
Other 33 7%
Unknown 97 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 14 September 2022.
All research outputs
#1,457,329
of 25,381,151 outputs
Outputs from Genome Biology
#1,166
of 4,461 outputs
Outputs of similar age
#18,111
of 274,117 outputs
Outputs of similar age from Genome Biology
#21
of 60 outputs
Altmetric has tracked 25,381,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,461 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 gotten more attention than average, scoring higher than 73% 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 274,117 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 93% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.