You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Steady state analysis of Boolean molecular network models via model reduction and computational algebra
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-221 |
| Pubmed ID | |
| Authors |
Alan Veliz-Cuba, Boris Aguilar, Franziska Hinkelmann, Reinhard Laubenbacher |
| Abstract |
A key problem in the analysis of mathematical models of molecular networks is the determination of their steady states. The present paper addresses this problem for Boolean network models, an increasingly popular modeling paradigm for networks lacking detailed kinetic information. For small models, the problem can be solved by exhaustive enumeration of all state transitions. But for larger models this is not feasible, since the size of the phase space grows exponentially with the dimension of the network. The dimension of published models is growing to over 100, so that efficient methods for steady state determination are essential. Several methods have been proposed for large networks, some of them heuristic. While these methods represent a substantial improvement in scalability over exhaustive enumeration, the problem for large networks is still unsolved in general. |
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 % |
|---|---|---|
| Germany | 1 | 25% |
| United States | 1 | 25% |
| Norway | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Portugal | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 52 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 36% |
| Researcher | 13 | 23% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 23% |
| Agricultural and Biological Sciences | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Mathematics | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 6 | 11% |
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 22 October 2014.
All research outputs
#12,900,273
of 22,757,541 outputs
Outputs from BMC Bioinformatics
#3,783
of 7,272 outputs
Outputs of similar age
#105,569
of 227,902 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 151 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 227,902 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 52% of its contemporaries.
We're also able to compare this research output to 151 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 53% of its contemporaries.