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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enumerating metabolic pathways for the production of heterologous target chemicals in chassis organisms
|
|---|---|
| Published in |
BMC Systems Biology, February 2012
|
| DOI | 10.1186/1752-0509-6-10 |
| Pubmed ID | |
| Authors |
Pablo Carbonell, Davide Fichera, Shashi B Pandit, Jean-Loup Faulon |
| Abstract |
We consider the possibility of engineering metabolic pathways in a chassis organism in order to synthesize novel target compounds that are heterologous to the chassis. For this purpose, we model metabolic networks through hypergraphs where reactions are represented by hyperarcs. Each hyperarc represents an enzyme-catalyzed reaction that transforms set of substrates compounds into product compounds. We follow a retrosynthetic approach in order to search in the metabolic space (hypergraphs) for pathways (hyperpaths) linking the target compounds to a source set of compounds. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 3 | 3% |
| United States | 3 | 3% |
| France | 2 | 2% |
| Germany | 1 | <1% |
| Colombia | 1 | <1% |
| India | 1 | <1% |
| Latvia | 1 | <1% |
| Thailand | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 104 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 26% |
| Student > Ph. D. Student | 28 | 24% |
| Student > Master | 17 | 14% |
| Student > Bachelor | 8 | 7% |
| Professor > Associate Professor | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 38% |
| Computer Science | 19 | 16% |
| Biochemistry, Genetics and Molecular Biology | 14 | 12% |
| Engineering | 8 | 7% |
| Medicine and Dentistry | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 20 | 17% |
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 18 July 2012.
All research outputs
#14,574,276
of 23,344,526 outputs
Outputs from BMC Systems Biology
#547
of 1,143 outputs
Outputs of similar age
#156,531
of 250,582 outputs
Outputs of similar age from BMC Systems Biology
#28
of 38 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 250,582 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 38 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.