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Bio-crude transcriptomics: Gene discovery and metabolic network reconstruction for the biosynthesis of the terpenome of the hydrocarbon oil-producing green alga, Botryococcus braunii race B (Showa)*

Overview of attention for article published in BMC Genomics, October 2012
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Title
Bio-crude transcriptomics: Gene discovery and metabolic network reconstruction for the biosynthesis of the terpenome of the hydrocarbon oil-producing green alga, Botryococcus braunii race B (Showa)*
Published in
BMC Genomics, October 2012
DOI 10.1186/1471-2164-13-576
Pubmed ID
Authors

István Molnár, David Lopez, Jennifer H Wisecaver, Timothy P Devarenne, Taylor L Weiss, Matteo Pellegrini, Jeremiah D Hackett

Abstract

Microalgae hold promise for yielding a biofuel feedstock that is sustainable, carbon-neutral, distributed, and only minimally disruptive for the production of food and feed by traditional agriculture. Amongst oleaginous eukaryotic algae, the B race of Botryococcus braunii is unique in that it produces large amounts of liquid hydrocarbons of terpenoid origin. These are comparable to fossil crude oil, and are sequestered outside the cells in a communal extracellular polymeric matrix material. Biosynthetic engineering of terpenoid bio-crude production requires identification of genes and reconstruction of metabolic pathways responsible for production of both hydrocarbons and other metabolites of the alga that compete for photosynthetic carbon and energy.

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 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 2 1%
Malaysia 1 <1%
France 1 <1%
Uruguay 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Colombia 1 <1%
Iran, Islamic Republic of 1 <1%
Other 3 2%
Unknown 183 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 22%
Student > Ph. D. Student 37 19%
Student > Master 22 11%
Student > Bachelor 16 8%
Student > Postgraduate 11 6%
Other 35 18%
Unknown 35 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 43%
Biochemistry, Genetics and Molecular Biology 36 18%
Engineering 13 7%
Chemistry 4 2%
Environmental Science 4 2%
Other 14 7%
Unknown 44 22%
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 31 October 2012.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#133,532
of 202,133 outputs
Outputs of similar age from BMC Genomics
#126
of 198 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 202,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.