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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Creation of New Metabolic Pathways or Improvement of Existing Metabolic Enzymes by In Vivo Evolution in Escherichia coli.
|
|---|---|
| Chapter number | 6 |
| Book title |
Microbial Metabolic Engineering
|
| Published in |
Methods in molecular biology, January 2012
|
| DOI | 10.1007/978-1-61779-483-4_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-482-7, 978-1-61779-483-4
|
| Authors |
Isabelle Meynial-Salles, Philippe Soucaille, Meynial-Salles, Isabelle, Soucaille, Philippe |
| Abstract |
A method for in vivo evolution of metabolic pathways in bacteria is described. This method is a powerful tool for synthetic biology type of metabolic design and can lead to the creation of new metabolic pathways or the improvement of existing metabolic enzymes. The proposed strategy also permits to relate the evolved phenotype to the genotype and to analyze evolution phenomenon at the genetic, biochemical, and metabolic levels. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 4% |
| China | 1 | 4% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 33% |
| Professor | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Other | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 33% |
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Engineering | 3 | 13% |
| Energy | 1 | 4% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from Methods in molecular biology
#7,806
of 13,019 outputs
Outputs of similar age
#195,918
of 244,041 outputs
Outputs of similar age from Methods in molecular biology
#325
of 473 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,019 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 244,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.