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Attention Score in Context
Chapter title |
Expression of Multiple Functional RNAs or Proteins from One Viral Vector.
|
---|---|
Chapter number | 3 |
Book title |
Gene Therapy for Neurological Disorders
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Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3271-9_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3270-2, 978-1-4939-3271-9
|
Authors |
Björklund, Tomas, Tomas Björklund |
Abstract |
In this chapter, we will cover the available design choices for enabling expression of two functional protein or RNA sequences from a single viral vector. Such vectors are very useful in the neuroscience-related field of neuronal control and modulation, e.g., using optogenetics or DREADDs, but are also desirable in applications of CRISPR/Cas9 in situ genome editing and more refined therapeutic approaches. Each approach to achieving this combined expression has its own strengths and limitations, which makes them more or less suitable for different applications. In this chapter, we describe the available alternatives and provide tips on how they can be implemented. |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 25% |
Student > Bachelor | 2 | 17% |
Student > Ph. D. Student | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 17% |
Environmental Science | 1 | 8% |
Neuroscience | 1 | 8% |
Unknown | 4 | 33% |
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 29 November 2015.
All research outputs
#18,431,664
of 22,834,308 outputs
Outputs from Methods in molecular biology
#7,920
of 13,126 outputs
Outputs of similar age
#284,439
of 393,581 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,470 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 393,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.