You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Impact of pretreatment and downstream processing technologies on economics and energy in cellulosic ethanol production
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, September 2011
|
| DOI | 10.1186/1754-6834-4-27 |
| Pubmed ID | |
| Authors |
Deepak Kumar, Ganti S Murthy |
| Abstract |
While advantages of biofuel have been widely reported, studies also highlight the challenges in large scale production of biofuel. Cost of ethanol and process energy use in cellulosic ethanol plants are dependent on technologies used for conversion of feedstock. Process modeling can aid in identifying techno-economic bottlenecks in a production process. A comprehensive techno-economic analysis was performed for conversion of cellulosic feedstock to ethanol using some of the common pretreatment technologies: dilute acid, dilute alkali, hot water and steam explosion. Detailed process models incorporating feedstock handling, pretreatment, simultaneous saccharification and co-fermentation, ethanol recovery and downstream processing were developed using SuperPro Designer. Tall Fescue (Festuca arundinacea Schreb) was used as a model feedstock. |
Mendeley readers
The data shown below were compiled from readership statistics for 521 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 5 | <1% |
| France | 2 | <1% |
| Malaysia | 1 | <1% |
| Indonesia | 1 | <1% |
| Pakistan | 1 | <1% |
| Chile | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 499 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 96 | 18% |
| Student > Ph. D. Student | 91 | 17% |
| Student > Bachelor | 71 | 14% |
| Researcher | 68 | 13% |
| Student > Doctoral Student | 28 | 5% |
| Other | 66 | 13% |
| Unknown | 101 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 119 | 23% |
| Agricultural and Biological Sciences | 98 | 19% |
| Chemical Engineering | 71 | 14% |
| Biochemistry, Genetics and Molecular Biology | 26 | 5% |
| Environmental Science | 26 | 5% |
| Other | 54 | 10% |
| Unknown | 127 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 October 2015.
All research outputs
#4,363,548
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#243
of 1,578 outputs
Outputs of similar age
#23,020
of 136,580 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#3
of 13 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 84% 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 136,580 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 83% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.