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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Dual Luciferase Gene Reporter Assays to Study miRNA Function.
|
|---|---|
| Chapter number | 17 |
| Book title |
Small Non-Coding RNAs
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2547-6_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2546-9, 978-1-4939-2547-6
|
| Authors |
Thomas Clément, Véronique Salone, Mathieu Rederstorff, Clément, Thomas, Salone, Véronique, Rederstorff, Mathieu |
| Abstract |
This chapter describes one of the most reliable quantitative assays to test the silencing of a possible target gene by a specific miRNA using a luciferase reporter gene. The experimental procedure first consists in cloning both the wild-type and mutated forms of the 3'UTR of the miRNA predicted mRNA target downstream of a firefly luciferase reporter. Next, each construct is co-transfected together with the miRNA into HeLa cells, and the reporter expression is monitored. Changes in luciferase levels will indicate whether or not a miRNA can bind to the UTR and regulate its expression. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Student > Bachelor | 12 | 16% |
| Student > Master | 11 | 14% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 21 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 46% |
| Agricultural and Biological Sciences | 9 | 12% |
| Medicine and Dentistry | 3 | 4% |
| Chemistry | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 23 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 15 March 2022.
All research outputs
#2,964,749
of 23,339,727 outputs
Outputs from Methods in molecular biology
#590
of 13,337 outputs
Outputs of similar age
#42,851
of 355,816 outputs
Outputs of similar age from Methods in molecular biology
#34
of 1,005 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,337 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 355,816 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1,005 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 96% of its contemporaries.