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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Production of omega-3 eicosapentaenoic acid by metabolic engineering of Yarrowia lipolytica
|
|---|---|
| Published in |
Nature Biotechnology, July 2013
|
| DOI | 10.1038/nbt.2622 |
| Pubmed ID | |
| Authors |
Zhixiong Xue, Pamela L Sharpe, Seung-Pyo Hong, Narendra S Yadav, Dongming Xie, David R Short, Howard G Damude, Ross A Rupert, John E Seip, Jamie Wang, Dana W Pollak, Michael W Bostick, Melissa D Bosak, Daniel J Macool, Dieter H Hollerbach, Hongxiang Zhang, Dennis M Arcilla, Sidney A Bledsoe, Kevin Croker, Elizabeth F McCord, Bjorn D Tyreus, Ethel N Jackson, Quinn Zhu |
| Abstract |
The availability of the omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) is currently limited because they are produced mainly by marine fisheries that cannot keep pace with the demands of the growing market for these products. A sustainable non-animal source of EPA and DHA is needed. Metabolic engineering of the oleaginous yeast Yarrowia lipolytica resulted in a strain that produced EPA at 15% of dry cell weight. The engineered yeast lipid comprises EPA at 56.6% and saturated fatty acids at less than 5% by weight, which are the highest and the lowest percentages, respectively, among known EPA sources. Inactivation of the peroxisome biogenesis gene PEX10 was crucial in obtaining high EPA yields and may increase the yields of other commercially desirable lipid-related products. This technology platform enables the production of lipids with tailored fatty acid compositions and provides a sustainable source of EPA. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 26% |
| Germany | 1 | 5% |
| Colombia | 1 | 5% |
| Japan | 1 | 5% |
| Australia | 1 | 5% |
| France | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 68% |
| Scientists | 6 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 480 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Germany | 3 | <1% |
| Malaysia | 1 | <1% |
| Indonesia | 1 | <1% |
| China | 1 | <1% |
| Mexico | 1 | <1% |
| Japan | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 467 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 101 | 21% |
| Researcher | 98 | 20% |
| Student > Master | 58 | 12% |
| Student > Bachelor | 49 | 10% |
| Student > Doctoral Student | 28 | 6% |
| Other | 54 | 11% |
| Unknown | 92 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 152 | 32% |
| Biochemistry, Genetics and Molecular Biology | 108 | 23% |
| Engineering | 34 | 7% |
| Chemical Engineering | 19 | 4% |
| Chemistry | 17 | 4% |
| Other | 32 | 7% |
| Unknown | 118 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 10 June 2023.
All research outputs
#707,763
of 25,743,152 outputs
Outputs from Nature Biotechnology
#1,438
of 8,610 outputs
Outputs of similar age
#5,434
of 209,687 outputs
Outputs of similar age from Nature Biotechnology
#9
of 98 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.3. This one has done well, scoring higher than 83% 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 209,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.