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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
In Vitro Modulation of Endogenous Alternative Splicing Using Splice-Switching Antisense Oligonucleotides
|
|---|---|
| Chapter number | 4 |
| Book title |
mRNA Processing
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7204-3_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7203-6, 978-1-4939-7204-3
|
| Authors |
Jeong Eun Park, Luca Cartegni |
| Abstract |
Regulation of alternative splicing can be harnessed by antisense-based compounds to control gene expression. Antisense-mediated splicing interference has become a valuable molecular tool to modulate endogenous alternative splicing patterns, to correct cryptic or aberrant splicing, to reduce gene expression by triggering nonsense-mediated mRNA decay, and to activate intronic polyadenylation, both in vitro and in vivo. Here, we describe methods to induce and analyze the modulation of RNA processing, using modified splice-switching antisense oligonucleotides, such as phosphorodiamidate morpholino (PMO). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Professor | 2 | 14% |
| Student > Postgraduate | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Unspecified | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 36% |
| Agricultural and Biological Sciences | 3 | 21% |
| Immunology and Microbiology | 2 | 14% |
| Psychology | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 August 2017.
All research outputs
#15,474,679
of 22,996,001 outputs
Outputs from Methods in molecular biology
#5,381
of 13,151 outputs
Outputs of similar age
#257,271
of 421,191 outputs
Outputs of similar age from Methods in molecular biology
#468
of 1,074 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 421,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.