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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-linearity in Marginal LCA: Application of a Spatial Optimization Model
|
|---|---|
| Published in |
Frontiers in Sustainability, May 2021
|
| DOI | 10.3389/frsus.2021.631080 |
| Authors |
Yuwei Qin, Yi Yang, Stefano Cucurachi, Sangwon Suh |
X Demographics
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Student > Master | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 3 | 17% |
| Chemical Engineering | 2 | 11% |
| Engineering | 2 | 11% |
| Business, Management and Accounting | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 June 2021.
All research outputs
#4,186,574
of 23,308,124 outputs
Outputs from Frontiers in Sustainability
#41
of 316 outputs
Outputs of similar age
#100,593
of 439,638 outputs
Outputs of similar age from Frontiers in Sustainability
#12
of 33 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 316 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% 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 439,638 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 76% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.