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Engineering a Streptomyces coelicolor biosynthesis pathway into Escherichia coli for high yield triglyceride production

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, December 2014
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1 X user
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1 Google+ user

Citations

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18 Dimensions

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46 Mendeley
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Title
Engineering a Streptomyces coelicolor biosynthesis pathway into Escherichia coli for high yield triglyceride production
Published in
Biotechnology for Biofuels and Bioproducts, December 2014
DOI 10.1186/s13068-014-0172-0
Pubmed ID
Authors

Santiago Comba, Martín Sabatini, Simón Menendez-Bravo, Ana Arabolaza, Hugo Gramajo

Abstract

Microbial lipid production represents a potential alternative feedstock for the biofuel and oleochemical industries. Since Escherichia coli exhibits many genetic, technical, and biotechnological advantages over native oleaginous bacteria, we aimed to construct a metabolically engineered E. coli strain capable of accumulating high levels of triacylglycerol (TAG) and evaluate its neutral lipid productivity during high cell density fed-batch fermentations.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
France 1 2%
Argentina 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Bachelor 7 15%
Student > Master 6 13%
Professor 4 9%
Student > Doctoral Student 3 7%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 37%
Biochemistry, Genetics and Molecular Biology 7 15%
Engineering 4 9%
Chemistry 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 7%
Unknown 9 20%
Attention Score in Context

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 01 November 2016.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#944
of 1,578 outputs
Outputs of similar age
#210,153
of 359,920 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#18
of 28 outputs
Altmetric has tracked 25,374,647 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 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 37th percentile – i.e., 37% 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 359,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.