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Title |
Oil accumulation mechanisms of the oleaginous microalga Chlorella protothecoides revealed through its genome, transcriptomes, and proteomes
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Published in |
BMC Genomics, July 2014
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DOI | 10.1186/1471-2164-15-582 |
Pubmed ID | |
Authors |
Chunfang Gao, Yun Wang, Yue Shen, Dong Yan, Xi He, Junbiao Dai, Qingyu Wu |
Abstract |
Microalgae-derived biodiesel is a promising substitute for conventional fossil fuels. In particular, the green alga Chlorella protothecoides sp. 0710 is regarded as one of the best candidates for commercial manufacture of microalgae-derived biofuel. This is due not only to its ability to live autotrophically through photosynthesis, but also to its capacity to produce a large amount of biomass and lipid through fermentation of glucose. However, until the present study, neither its genome sequence nor the platform required for molecular manipulations were available. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
Canada | 2 | <1% |
Netherlands | 1 | <1% |
United Kingdom | 1 | <1% |
Korea, Republic of | 1 | <1% |
Unknown | 214 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 20% |
Student > Master | 38 | 17% |
Researcher | 29 | 13% |
Student > Bachelor | 22 | 10% |
Student > Doctoral Student | 12 | 5% |
Other | 23 | 10% |
Unknown | 53 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 77 | 35% |
Biochemistry, Genetics and Molecular Biology | 40 | 18% |
Engineering | 7 | 3% |
Immunology and Microbiology | 6 | 3% |
Environmental Science | 5 | 2% |
Other | 20 | 9% |
Unknown | 66 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 May 2022.
All research outputs
#5,872,994
of 22,758,248 outputs
Outputs from BMC Genomics
#2,423
of 10,637 outputs
Outputs of similar age
#54,290
of 225,815 outputs
Outputs of similar age from BMC Genomics
#43
of 196 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% of its peers.
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 225,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.