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 |
A depth-first search algorithm to compute elementary flux modes by linear programming
|
|---|---|
| Published in |
BMC Systems Biology, July 2014
|
| DOI | 10.1186/s12918-014-0094-2 |
| Pubmed ID | |
| Authors |
Lake-Ee Quek, Lars K Nielsen |
| Abstract |
The decomposition of complex metabolic networks into elementary flux modes (EFMs) provides a useful framework for exploring reaction interactions systematically. Generating a complete set of EFMs for large-scale models, however, is near impossible. Even for moderately-sized models (<400 reactions), existing approaches based on the Double Description method must iterate through a large number of combinatorial candidates, thus imposing an immense processor and memory demand. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Latvia | 1 | 2% |
| Portugal | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 48 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 31% |
| Student > Ph. D. Student | 14 | 27% |
| Student > Master | 8 | 15% |
| Professor > Associate Professor | 4 | 8% |
| Professor | 3 | 6% |
| Other | 2 | 4% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 29% |
| Computer Science | 13 | 25% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Engineering | 5 | 10% |
| Mathematics | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 8 | 15% |
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 28 February 2015.
All research outputs
#14,638,545
of 23,881,329 outputs
Outputs from BMC Systems Biology
#516
of 1,126 outputs
Outputs of similar age
#117,707
of 231,254 outputs
Outputs of similar age from BMC Systems Biology
#9
of 26 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 52% 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 231,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 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 61% of its contemporaries.