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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dilution and the theoretical description of growth-rate dependent gene expression
|
|---|---|
| Published in |
Journal of Biological Engineering, September 2013
|
| DOI | 10.1186/1754-1611-7-22 |
| Pubmed ID | |
| Authors |
Marius Hintsche, Stefan Klumpp |
| Abstract |
Expression of a gene is not only tuned by direct regulation, but also affected by the global physiological state of the (host) cell. This global dependence complicates the quantitative understanding of gene regulation and the design of synthetic gene circuits. In bacteria these global effects can often be described as a dependence on the growth rate. Here we discuss how growth-rate dependence can be incorporated in mathematical models of gene expression by comparing data for unregulated genes with the predictions of different theoretical descriptions of growth-rate dependence. We argue that a realistic description of growth effects requires a growth-rate dependent protein synthesis rate in addition to dilution by growth. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Czechia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| China | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 34% |
| Researcher | 12 | 16% |
| Student > Master | 11 | 14% |
| Student > Bachelor | 6 | 8% |
| Other | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 34% |
| Biochemistry, Genetics and Molecular Biology | 17 | 22% |
| Engineering | 9 | 12% |
| Chemistry | 4 | 5% |
| Chemical Engineering | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 9 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 September 2013.
All research outputs
#16,580,157
of 25,374,647 outputs
Outputs from Journal of Biological Engineering
#203
of 308 outputs
Outputs of similar age
#118,654
of 199,095 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 34th percentile – i.e., 34% 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 199,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.