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Attention Score in Context
| Title |
An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
|
|---|---|
| Published in |
Frontiers in Plant Science, November 2017
|
| DOI | 10.3389/fpls.2017.01949 |
| Pubmed ID | |
| Authors |
Miao Yang, Yan Fan, Pei-Chun Wu, Ya-Dong Chu, Pei-Li Shen, Song Xue, Zhan-You Chi |
| Abstract |
Microalgae represent a third generation biofuel feedstock due to their high triacylglycerol (TAG) content under adverse environmental conditions. Microalgal TAG resides in a single cell and serves as a lipid class mixed with complicated compositions. We previously showed that TAG possessed characteristic fatty acids (CFAs) for quantification and was linearly correlated with the relative abundance of CFA within certain limits in microalgae. Here, we defined the application range of the linear correlation between TAG and CFA in the oleaginous microalgae Chlamydomonas reinhardtii and Phaeodactylum tricornutum. In addition, TAG quantification was further expanded to a wide range of levels and the absolute amounts of saturated or monounsaturated CFAs, 16:0 and 18:1n9 of C. reinhardtii and 16:0 and 16:1n7 of P. tricornutum, instead of polyunsaturated CFAs, were verified to be linearly correlated to TAG levels throughout the entire period of nitrogen stress. This approach utilizes a single fatty acid to quantify TAG mixtures, and is rapid, simple and precise, which provides a useful tool for monitoring TAG accumulation of distinct microalgal species and facilitating high-throughput mutant screening for microalgae. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Student > Bachelor | 6 | 15% |
| Student > Master | 5 | 13% |
| Researcher | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 23% |
| Agricultural and Biological Sciences | 5 | 13% |
| Environmental Science | 4 | 10% |
| Chemical Engineering | 2 | 5% |
| Chemistry | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 14 | 35% |
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 18 December 2017.
All research outputs
#20,456,235
of 23,012,811 outputs
Outputs from Frontiers in Plant Science
#16,398
of 20,511 outputs
Outputs of similar age
#284,096
of 325,989 outputs
Outputs of similar age from Frontiers in Plant Science
#373
of 441 outputs
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So far Altmetric has tracked 20,511 research outputs from this source. They receive a mean Attention Score of 4.0. 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 441 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.