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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Constructing GFP-Based Reporter to Study Back Splicing and Translation of Circular RNA
|
|---|---|
| Chapter number | 9 |
| Book title |
Circular RNAs
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7562-4_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7561-7, 978-1-4939-7562-4
|
| Authors |
Yun Yang, Zefeng Wang, Yang, Yun, Wang, Zefeng |
| Abstract |
Human transcriptome contains a large number of circular RNAs (circRNAs) that are mainly produced by back splicing of pre-mRNA. Here we describe a minigene reporter system containing a single exon encoding split GFP in reverse order, which can be efficiently back spliced to produce a circRNA encoding intact GFP gene. This simple reporter system can be adopted to study how different cis-elements and trans-factors affect circRNA production, and also can serve as a reliable system to measure the activity of IRES-mediated translation. Therefore this system can serve as a platform for mechanistic studies on the circRNA biogenesis and its function. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Master | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Unspecified | 1 | 6% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Neuroscience | 2 | 11% |
| Unspecified | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 January 2019.
All research outputs
#7,032,173
of 23,016,919 outputs
Outputs from Methods in molecular biology
#2,112
of 13,165 outputs
Outputs of similar age
#142,238
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#204
of 1,498 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.