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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
SOBOLHDMR: A General-Purpose Modeling Software
|
|---|---|
| Chapter number | 16 |
| Book title |
Synthetic Biology
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-625-2_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-624-5, 978-1-62703-625-2
|
| Authors |
Sergei Kucherenko |
| Abstract |
One of the dominant approaches in synthetic biology is the development and implementation of minimal circuits that generate reproducible and controllable system behavior. However, most biological systems are highly complicated and the design of sustainable minimal circuits can be challenging. SobolHDMR is a general-purpose metamodeling software that can be used to reduce the complexity of mathematical models, such as those for metabolic networks and other biological pathways, yielding simpler descriptions that retain the features of the original model. These descriptions can be used as the basis for the design of minimal circuits or artificial networks. |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 41% |
| Student > Ph. D. Student | 4 | 18% |
| Student > Master | 3 | 14% |
| Professor > Associate Professor | 2 | 9% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 4 | 18% |
| Engineering | 4 | 18% |
| Environmental Science | 3 | 14% |
| Mathematics | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
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 09 September 2013.
All research outputs
#14,177,097
of 22,721,584 outputs
Outputs from Methods in molecular biology
#4,163
of 13,083 outputs
Outputs of similar age
#167,547
of 280,759 outputs
Outputs of similar age from Methods in molecular biology
#156
of 341 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,083 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.