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Bioprospecting for acidophilic lipid-rich green microalgae isolated from abandoned mine site water bodies

Overview of attention for article published in AMB Express, March 2014
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Title
Bioprospecting for acidophilic lipid-rich green microalgae isolated from abandoned mine site water bodies
Published in
AMB Express, March 2014
DOI 10.1186/2191-0855-4-7
Pubmed ID
Authors

Joseph K Eibl, Jason D Corcoran, Gerusa N A Senhorinho, Kejian Zhang, Nekoo Seyed Hosseini, James Marsden, Corey A Laamanen, John A Scott, Gregory M Ross

Abstract

With fossil fuel sources in limited supply, microalgae show tremendous promise as a carbon neutral source of biofuel. Current microalgae biofuel strategies typically rely on growing high-lipid producing laboratory strains of microalgae in open raceways or closed system photobioreactors. Unfortunately, these microalgae species are found to be sensitive to environmental stresses or competition by regional strains. Contamination by invasive species can diminish productivity of commercial algal processes. A potential improvement to current strategies is to identify high-lipid producing microalgae, which thrive in selected culture conditions that reduce the risk of contamination, such as low pH. Here we report the identification of a novel high-lipid producing microalgae which can tolerate low pH growth conditions. Lig 290 is a Scenedesmus spp. isolated from a low pH waterbody (pH = 4.5) in proximity to an abandoned lignite mine in Northern Ontario, Canada. Compared to a laboratory strain of Scendesmus dimorphus, Lig 290 demonstrated robust growth rates, a strong growth profile, and high lipid production. As a consequence, Lig 290 may have potential application as a robust microalgal species for use in biofuel production.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Brazil 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 19%
Student > Master 8 17%
Student > Bachelor 7 15%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 19%
Engineering 9 19%
Biochemistry, Genetics and Molecular Biology 5 11%
Environmental Science 4 9%
Chemical Engineering 3 6%
Other 8 17%
Unknown 9 19%
Attention Score in Context

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 27 March 2014.
All research outputs
#20,226,756
of 22,751,628 outputs
Outputs from AMB Express
#965
of 1,230 outputs
Outputs of similar age
#192,092
of 224,565 outputs
Outputs of similar age from AMB Express
#9
of 18 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,230 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.