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Mendeley readers
Attention Score in Context
| Title |
Invariants and Other Structural Properties of Biochemical Models as a Constraint Satisfaction Problem
|
|---|---|
| Published in |
Algorithms for Molecular Biology, May 2012
|
| DOI | 10.1186/1748-7188-7-15 |
| Pubmed ID | |
| Authors |
Sylvain Soliman |
| Abstract |
We present a way to compute the minimal semi-positive invariants of a Petri net representing a biological reaction system, as resolution of a Constraint Satisfaction Problem. The use of Petri nets to manipulate Systems Biology models and make available a variety of tools is quite old, and recently analyses based on invariant computation for biological models have become more and more frequent, for instance in the context of module decomposition. |
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% |
| New Zealand | 1 | 6% |
| United States | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 12 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 38% |
| Researcher | 4 | 25% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Professor | 1 | 6% |
| Other | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 44% |
| Agricultural and Biological Sciences | 5 | 31% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Engineering | 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 02 July 2012.
All research outputs
#15,246,403
of 22,669,724 outputs
Outputs from Algorithms for Molecular Biology
#148
of 264 outputs
Outputs of similar age
#104,738
of 165,064 outputs
Outputs of similar age from Algorithms for Molecular Biology
#3
of 6 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. 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 165,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.