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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COBRApy: COnstraints-Based Reconstruction and Analysis for Python
|
|---|---|
| Published in |
BMC Systems Biology, August 2013
|
| DOI | 10.1186/1752-0509-7-74 |
| Pubmed ID | |
| Authors |
Ali Ebrahim, Joshua A Lerman, Bernhard O Palsson, Daniel R Hyduke |
| Abstract |
COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. Due to the successes with metabolism, there is an increasing effort to apply COBRA methods to reconstruct and analyze integrated models of cellular processes. The COBRA Toolbox for MATLAB is a leading software package for genome-scale analysis of metabolism; however, it was not designed to elegantly capture the complexity inherent in integrated biological networks and lacks an integration framework for the multiomics data used in systems biology. The openCOBRA Project is a community effort to promote constraints-based research through the distribution of freely available software. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 40% |
| United Kingdom | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,061 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 2% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Norway | 2 | <1% |
| Belgium | 2 | <1% |
| Netherlands | 2 | <1% |
| Chile | 1 | <1% |
| India | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 1020 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 241 | 23% |
| Student > Master | 173 | 16% |
| Researcher | 151 | 14% |
| Student > Bachelor | 137 | 13% |
| Student > Doctoral Student | 45 | 4% |
| Other | 112 | 11% |
| Unknown | 202 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 276 | 26% |
| Agricultural and Biological Sciences | 264 | 25% |
| Engineering | 74 | 7% |
| Computer Science | 70 | 7% |
| Chemical Engineering | 34 | 3% |
| Other | 114 | 11% |
| Unknown | 229 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 23 October 2022.
All research outputs
#2,156,564
of 25,505,015 outputs
Outputs from BMC Systems Biology
#38
of 1,132 outputs
Outputs of similar age
#17,946
of 209,239 outputs
Outputs of similar age from BMC Systems Biology
#2
of 29 outputs
Altmetric has tracked 25,505,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 209,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.