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Stochastic multi-attribute analysis (SMAA) as an interpretation method for comparative life-cycle assessment (LCA)

Overview of attention for article published in The International Journal of Life Cycle Assessment, September 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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2 X users
patent
2 patents

Citations

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71 Dimensions

Readers on

mendeley
155 Mendeley
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Title
Stochastic multi-attribute analysis (SMAA) as an interpretation method for comparative life-cycle assessment (LCA)
Published in
The International Journal of Life Cycle Assessment, September 2013
DOI 10.1007/s11367-013-0641-x
Authors

Valentina Prado-Lopez, Thomas P. Seager, Mikhail Chester, Lise Laurin, Melissa Bernardo, Steven Tylock

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
United States 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Unknown 150 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 26%
Student > Master 23 15%
Researcher 21 14%
Professor > Associate Professor 12 8%
Student > Doctoral Student 12 8%
Other 28 18%
Unknown 18 12%
Readers by discipline Count As %
Engineering 43 28%
Environmental Science 31 20%
Chemistry 7 5%
Agricultural and Biological Sciences 7 5%
Business, Management and Accounting 6 4%
Other 19 12%
Unknown 42 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 February 2020.
All research outputs
#6,388,035
of 23,911,072 outputs
Outputs from The International Journal of Life Cycle Assessment
#367
of 978 outputs
Outputs of similar age
#52,570
of 200,651 outputs
Outputs of similar age from The International Journal of Life Cycle Assessment
#7
of 22 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 978 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 62% 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 200,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 22 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 68% of its contemporaries.