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Mendeley readers
Attention Score in Context
| Title |
Understanding cost drivers and economic potential of two variants of ionic liquid pretreatment for cellulosic biofuel production
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, June 2014
|
| DOI | 10.1186/1754-6834-7-86 |
| Pubmed ID | |
| Authors |
NVSN Murthy Konda, Jian Shi, Seema Singh, Harvey W Blanch, Blake A Simmons, Daniel Klein-Marcuschamer |
| Abstract |
Ionic liquid (IL) pretreatment could enable an economically viable route to produce biofuels by providing efficient means to extract sugars and lignin from lignocellulosic biomass. However, to realize this, novel IL-based processes need to be developed in order to minimize the overall production costs and accelerate commercial viability. In this study, two variants of IL-based processes are considered: one based on complete removal of the IL prior to hydrolysis using a water-wash (WW) step and the other based on a "one-pot" (OP) process that does not require IL removal prior to saccharification. Detailed techno-economic analysis (TEA) of these two routes was carried out to understand the cost drivers, economic potential (minimum ethanol selling price, MESP), and relative merits and challenges of each route. |
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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | <1% |
| Indonesia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 140 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 22% |
| Student > Ph. D. Student | 26 | 18% |
| Student > Master | 18 | 13% |
| Professor > Associate Professor | 11 | 8% |
| Professor | 9 | 6% |
| Other | 22 | 15% |
| Unknown | 26 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 24 | 17% |
| Chemical Engineering | 21 | 15% |
| Chemistry | 20 | 14% |
| Agricultural and Biological Sciences | 12 | 8% |
| Environmental Science | 8 | 6% |
| Other | 18 | 13% |
| Unknown | 40 | 28% |
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 July 2014.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,285
of 1,578 outputs
Outputs of similar age
#178,297
of 243,252 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#23
of 25 outputs
Altmetric has tracked 25,371,288 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 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 10th percentile – i.e., 10% 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 243,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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.