Plant-Virus Interactions
Springer US
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Attention Score in Context
| Chapter title |
Virus-Induced Heritable Gene Editing in Plants.
|
|---|---|
| Chapter number | 20 |
| Book title |
Plant-Virus Interactions
|
| Published in |
Methods in molecular biology, January 2024
|
| DOI | 10.1007/978-1-0716-3485-1_20 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163484-4, 978-1-07-163485-1
|
| Authors |
Nagalakshmi, Ugrappa, Meier, Nathan, Dinesh-Kumar, Savithramma P, Dinesh-Kumar, Savithramma P. |
| Abstract |
Gene editing using clustered, regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated (Cas) nuclease is an excellent tool for assessing gene function in plants. However, delivery of CRISPR/Cas-editing components into plant cells is still a major bottleneck and requires tissue culture-based approaches and regeneration of plants. To overcome this limitation, several plant viral vectors have recently been engineered to deliver single-guide RNA (sgRNA) targets into SpCas9-expressing plants. Here, we describe an optimized, step-by-step protocol based on the tobacco rattle virus (TRV)-based vector system to deliver sgRNAs fused to mobile tRNA sequences for efficient heritable editing in Nicotiana benthamiana and Arabidopsis thaliana model systems. The protocol described here could be adopted to study the function of any gene of interest. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 December 2023.
All research outputs
#8,350,615
of 24,963,265 outputs
Outputs from Methods in molecular biology
#2,584
of 14,033 outputs
Outputs of similar age
#25,034
of 82,843 outputs
Outputs of similar age from Methods in molecular biology
#12
of 150 outputs
Altmetric has tracked 24,963,265 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,033 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 82,843 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 68% of its contemporaries.
We're also able to compare this research output to 150 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 92% of its contemporaries.