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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enhanced lipid extraction from algae using free nitrous acid pretreatment
|
|---|---|
| Published in |
Bioresource Technology, February 2014
|
| DOI | 10.1016/j.biortech.2014.01.133 |
| Pubmed ID | |
| Authors |
Xue Bai, Forough Ghasemi Naghdi, Liu Ye, Paul Lant, Steven Pratt |
| Abstract |
Lipid extraction has been identified as a major bottleneck for large-scale algal biodiesel production. In this work free nitrous acid (FNA) is presented as an effective and low cost pretreatment to enhance lipid recovery from algae. Two batch tests, with a range of FNA additions, were conducted to disrupt algal cells prior to lipid extraction by organic solvents. Total accessible lipid content was quantified by the Bligh and Dyer method, and was found to increase with pretreatment time (up to 48 h) and FNA concentration (up to 2.19 mg HNO2-N/L). Hexane extraction was used to study industrially accessible lipids. The mass transfer coefficient (k) for lipid extraction using hexane from algae treated with 2.19 mg HNO2-N/L FNA was found to be dramatically higher than for extraction from untreated algae. Consistent with extraction results, cell disruption analysis indicated the disruption of the cell membrane barrier. |
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 % |
|---|---|---|
| United States | 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | <1% |
| India | 1 | <1% |
| Argentina | 1 | <1% |
| Denmark | 1 | <1% |
| China | 1 | <1% |
| Unknown | 101 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Student > Master | 19 | 18% |
| Researcher | 15 | 14% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 18 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 22% |
| Engineering | 14 | 13% |
| Environmental Science | 12 | 11% |
| Chemical Engineering | 9 | 8% |
| Chemistry | 8 | 8% |
| Other | 14 | 13% |
| Unknown | 26 | 25% |
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 09 November 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Bioresource Technology
#6,102
of 8,264 outputs
Outputs of similar age
#245,192
of 324,060 outputs
Outputs of similar age from Bioresource Technology
#75
of 89 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,264 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 17th percentile – i.e., 17% 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 324,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.