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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OptFlux: an open-source software platform for in silico metabolic engineering
|
|---|---|
| Published in |
BMC Systems Biology, April 2010
|
| DOI | 10.1186/1752-0509-4-45 |
| Pubmed ID | |
| Authors |
Isabel Rocha, Paulo Maia, Pedro Evangelista, Paulo Vilaça, Simão Soares, José P Pinto, Jens Nielsen, Kiran R Patil, Eugénio C Ferreira, Miguel Rocha |
| Abstract |
Over the last few years a number of methods have been proposed for the phenotype simulation of microorganisms under different environmental and genetic conditions. These have been used as the basis to support the discovery of successful genetic modifications of the microbial metabolism to address industrial goals. However, the use of these methods has been restricted to bioinformaticians or other expert researchers. The main aim of this work is, therefore, to provide a user-friendly computational tool for Metabolic Engineering applications. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 608 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 1% |
| United Kingdom | 6 | <1% |
| France | 5 | <1% |
| Latvia | 4 | <1% |
| Portugal | 4 | <1% |
| Brazil | 3 | <1% |
| Switzerland | 3 | <1% |
| Colombia | 2 | <1% |
| Germany | 2 | <1% |
| Other | 19 | 3% |
| Unknown | 551 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 132 | 22% |
| Student > Master | 117 | 19% |
| Researcher | 107 | 18% |
| Student > Bachelor | 56 | 9% |
| Student > Doctoral Student | 29 | 5% |
| Other | 87 | 14% |
| Unknown | 80 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 248 | 41% |
| Biochemistry, Genetics and Molecular Biology | 95 | 16% |
| Computer Science | 53 | 9% |
| Engineering | 53 | 9% |
| Chemistry | 14 | 2% |
| Other | 47 | 8% |
| Unknown | 98 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 February 2018.
All research outputs
#2,682,738
of 22,661,413 outputs
Outputs from BMC Systems Biology
#73
of 1,142 outputs
Outputs of similar age
#10,406
of 93,716 outputs
Outputs of similar age from BMC Systems Biology
#2
of 25 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 93% 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 93,716 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 25 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 92% of its contemporaries.