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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Building a Synthetic Transcriptional Oscillator.
|
|---|---|
| Chapter number | 10 |
| Book title |
Cell Cycle Oscillators
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2957-3_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2956-6, 978-1-4939-2957-3
|
| Authors |
Schwarz-Schilling, Matthaeus, Kim, Jongmin, Cuba, Christian, Weitz, Maximilian, Franco, Elisa, Simmel, Friedrich C, Matthaeus Schwarz-Schilling, Jongmin Kim, Christian Cuba, Maximilian Weitz, Elisa Franco, Friedrich C. Simmel |
| Abstract |
Reaction circuits mimicking genetic oscillators can be realized with synthetic, switchable DNA genes (so-called genelets), and two enzymes only, an RNA polymerase and a ribonuclease. The oscillatory behavior of the genelets is driven by the periodic production and degradation of RNA effector molecules. Here, we describe the preparation, assembly, and testing of a synthetic, transcriptional two-node negative-feedback oscillator, whose dynamics can be followed in real-time by fluorescence read-out. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
| Spain | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Student > Bachelor | 3 | 19% |
| Student > Master | 2 | 13% |
| Professor | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 25% |
| Agricultural and Biological Sciences | 4 | 25% |
| Chemical Engineering | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 3 | 19% |
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 May 2016.
All research outputs
#14,429,825
of 24,619,747 outputs
Outputs from Methods in molecular biology
#3,788
of 13,854 outputs
Outputs of similar age
#195,776
of 403,966 outputs
Outputs of similar age from Methods in molecular biology
#348
of 1,462 outputs
Altmetric has tracked 24,619,747 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,854 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 71% 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 403,966 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 50% of its contemporaries.
We're also able to compare this research output to 1,462 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.