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Mendeley readers
Attention Score in Context
| Title |
Life-cycle analysis of greenhouse gas emissions from renewable jet fuel production
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, March 2017
|
| DOI | 10.1186/s13068-017-0739-7 |
| Pubmed ID | |
| Authors |
Sierk de Jong, Kay Antonissen, Ric Hoefnagels, Laura Lonza, Michael Wang, André Faaij, Martin Junginger |
| Abstract |
The introduction of renewable jet fuel (RJF) is considered an important emission mitigation measure for the aviation industry. This study compares the well-to-wake (WtWa) greenhouse gas (GHG) emission performance of multiple RJF conversion pathways and explores the impact of different co-product allocation methods. The insights obtained in this study are of particular importance if RJF is included as an emission mitigation instrument in the global Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA). Fischer-Tropsch pathways yield the highest GHG emission reduction compared to fossil jet fuel (86-104%) of the pathways in scope, followed by Hydrothermal Liquefaction (77-80%) and sugarcane- (71-75%) and corn stover-based Alcohol-to-Jet (60-75%). Feedstock cultivation, hydrogen and conversion inputs were shown to be major contributors to the overall WtWa GHG emission performance. The choice of allocation method mainly affects pathways yielding high shares of co-products or producing co-products which effectively displace carbon intensive products (e.g., electricity). Renewable jet fuel can contribute to significant reduction of aviation-related GHG emissions, provided the right feedstock and conversion technology are used. The GHG emission performance of RJF may be further improved by using sustainable hydrogen sources or applying carbon capture and storage. Based on the character and impact of different co-product allocation methods, we recommend using energy and economic allocation (for non-energy co-products) at a global level, as it leverages the universal character of energy allocation while adequately valuing non-energy co-products. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Cameroon | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 515 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 515 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 76 | 15% |
| Researcher | 75 | 15% |
| Student > Ph. D. Student | 63 | 12% |
| Student > Bachelor | 45 | 9% |
| Student > Doctoral Student | 33 | 6% |
| Other | 55 | 11% |
| Unknown | 168 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 80 | 16% |
| Environmental Science | 46 | 9% |
| Chemical Engineering | 40 | 8% |
| Energy | 33 | 6% |
| Agricultural and Biological Sciences | 16 | 3% |
| Other | 83 | 16% |
| Unknown | 217 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 22 July 2021.
All research outputs
#770,435
of 25,440,205 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#16
of 1,579 outputs
Outputs of similar age
#16,033
of 322,169 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#2
of 58 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,579 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 322,169 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 95% of its contemporaries.
We're also able to compare this research output to 58 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 98% of its contemporaries.