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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mechanistic analysis of multi-omics datasets to generate kinetic parameters for constraint-based metabolic models
|
|---|---|
| Published in |
BMC Bioinformatics, January 2013
|
| DOI | 10.1186/1471-2105-14-32 |
| Pubmed ID | |
| Authors |
Cameron Cotten, Jennifer L Reed |
| Abstract |
Constraint-based modeling uses mass balances, flux capacity, and reaction directionality constraints to predict fluxes through metabolism. Although transcriptional regulation and thermodynamic constraints have been integrated into constraint-based modeling, kinetic rate laws have not been extensively used. |
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 % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 2% |
| Germany | 2 | 1% |
| Denmark | 2 | 1% |
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| Chile | 1 | <1% |
| Latvia | 1 | <1% |
| Switzerland | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 158 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 27% |
| Student > Ph. D. Student | 46 | 26% |
| Student > Master | 19 | 11% |
| Student > Bachelor | 9 | 5% |
| Other | 9 | 5% |
| Other | 24 | 14% |
| Unknown | 21 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 42% |
| Engineering | 23 | 13% |
| Computer Science | 18 | 10% |
| Biochemistry, Genetics and Molecular Biology | 15 | 9% |
| Medicine and Dentistry | 4 | 2% |
| Other | 14 | 8% |
| Unknown | 28 | 16% |
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 03 February 2013.
All research outputs
#14,743,944
of 22,694,633 outputs
Outputs from BMC Bioinformatics
#5,033
of 7,254 outputs
Outputs of similar age
#175,687
of 282,145 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 137 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 26th percentile – i.e., 26% 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 282,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.