You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic RNA synthetic biology: new principles, practices and potential
|
|---|---|
| Published in |
RNA Biology, December 2023
|
| DOI | 10.1080/15476286.2023.2269508 |
| Pubmed ID | |
| Authors |
Yueyi Li, Anibal Arce, Tyler Lucci, Rebecca A. Rasmussen, Julius B. Lucks |
| Abstract |
An increased appreciation of the role of RNA dynamics in governing RNA function is ushering in a new wave of dynamic RNA synthetic biology. Here, we review recent advances in engineering dynamic RNA systems across the molecular, circuit and cellular scales for important societal-scale applications in environmental and human health, and bioproduction. For each scale, we introduce the core concepts of dynamic RNA folding and function at that scale, and then discuss technologies incorporating these concepts, covering new approaches to engineering riboswitches, ribozymes, RNA origami, RNA strand displacement circuits, biomaterials, biomolecular condensates, extracellular vesicles and synthetic cells. Considering the dynamic nature of RNA within the engineering design process promises to spark the next wave of innovation that will expand the scope and impact of RNA biotechnologies. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 8 | 36% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 12 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 10 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Chemistry | 1 | 14% |
| Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 14 December 2023.
All research outputs
#2,627,386
of 25,372,398 outputs
Outputs from RNA Biology
#88
of 1,532 outputs
Outputs of similar age
#39,087
of 346,935 outputs
Outputs of similar age from RNA Biology
#2
of 16 outputs
Altmetric has tracked 25,372,398 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,532 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 94% 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 346,935 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 88% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.