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Article Metrics

The Landscape of Circular RNA in Cancer

Overview of attention for article published in Cell, February 2019
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
253 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
166 Mendeley
Title
The Landscape of Circular RNA in Cancer
Published in
Cell, February 2019
DOI 10.1016/j.cell.2018.12.021
Pubmed ID
Authors

Josh N. Vo, Marcin Cieslik, Yajia Zhang, Sudhanshu Shukla, Lanbo Xiao, Yuping Zhang, Yi-Mi Wu, Saravana M. Dhanasekaran, Carl G. Engelke, Xuhong Cao, Dan R. Robinson, Alexey I. Nesvizhskii, Arul M. Chinnaiyan

Abstract

Circular RNAs (circRNAs) are an intriguing class of RNA due to their covalently closed structure, high stability, and implicated roles in gene regulation. Here, we used an exome capture RNA sequencing protocol to detect and characterize circRNAs across >2,000 cancer samples. When compared against Ribo-Zero and RNase R, capture sequencing significantly enhanced the enrichment of circRNAs and preserved accurate circular-to-linear ratios. Using capture sequencing, we built the most comprehensive catalog of circRNA species to date: MiOncoCirc, the first database to be composed primarily of circRNAs directly detected in tumor tissues. Using MiOncoCirc, we identified candidate circRNAs to serve as biomarkers for prostate cancer and were able to detect circRNAs in urine. We further detected a novel class of circular transcripts, termed read-through circRNAs, that involved exons originating from different genes. MiOncoCirc will serve as a valuable resource for the development of circRNAs as diagnostic or therapeutic targets across cancer types.

Twitter Demographics

The data shown below were collected from the profiles of 253 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 22%
Unspecified 35 21%
Researcher 23 14%
Student > Master 21 13%
Student > Bachelor 14 8%
Other 36 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 36%
Unspecified 42 25%
Agricultural and Biological Sciences 30 18%
Medicine and Dentistry 23 14%
Computer Science 4 2%
Other 8 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 206. 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 17 April 2019.
All research outputs
#61,057
of 13,234,387 outputs
Outputs from Cell
#390
of 14,811 outputs
Outputs of similar age
#2,342
of 280,503 outputs
Outputs of similar age from Cell
#15
of 151 outputs
Altmetric has tracked 13,234,387 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,811 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.6. 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 280,503 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 99% of its contemporaries.
We're also able to compare this research output to 151 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 90% of its contemporaries.