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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Rational design and tuning of ribozyme-based devices.
|
|---|---|
| Chapter number | 27 |
| Book title |
Ribozymes
|
| Published in |
Methods in molecular biology, February 2012
|
| DOI | 10.1007/978-1-61779-545-9_27 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-544-2, 978-1-61779-545-9
|
| Authors |
Liang JC, Smolke CD, Joe C. Liang, Christina D. Smolke, Liang, Joe C., Smolke, Christina D. |
| Abstract |
A synthetic gene-regulatory device platform was described by modularly assembling three RNA components encoding distinct functions of sensing, transmission, and actuation. The molecular binding at the sensor component is translated by the transmitter component through a strand-displacement event to modulate activity of the actuator component, which then interacts with cellular transcriptional machinery to affect gene expression levels. Here, we provide some general guidelines on linking RNA components to construct gene-regulatory devices and strategies to tune device regulatory activities through an RNA folding -program for specific cellular applications. |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 12% |
| Unknown | 15 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 41% |
| Researcher | 5 | 29% |
| Professor | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Other | 1 | 6% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 53% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Engineering | 2 | 12% |
| Chemistry | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 1 | 6% |
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 31 May 2012.
All research outputs
#18,308,895
of 22,668,244 outputs
Outputs from Methods in molecular biology
#7,828
of 13,025 outputs
Outputs of similar age
#197,661
of 248,345 outputs
Outputs of similar age from Methods in molecular biology
#315
of 456 outputs
Altmetric has tracked 22,668,244 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 13,025 research outputs from this source. They receive a mean Attention Score of 3.3. 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 248,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 456 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.