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A modular bottom-up approach for constructing physical input–output tables (PIOTs) based on process engineering models

Overview of attention for article published in Journal of Economic Structures, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
64 Mendeley
Title
A modular bottom-up approach for constructing physical input–output tables (PIOTs) based on process engineering models
Published in
Journal of Economic Structures, October 2018
DOI 10.1186/s40008-018-0123-1
Authors

Liz Wachs, Shweta Singh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 22%
Researcher 12 19%
Student > Ph. D. Student 12 19%
Professor > Associate Professor 5 8%
Other 4 6%
Other 4 6%
Unknown 13 20%
Readers by discipline Count As %
Engineering 9 14%
Economics, Econometrics and Finance 9 14%
Environmental Science 8 13%
Energy 3 5%
Social Sciences 3 5%
Other 11 17%
Unknown 21 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 January 2022.
All research outputs
#7,480,713
of 22,867,327 outputs
Outputs from Journal of Economic Structures
#28
of 87 outputs
Outputs of similar age
#134,959
of 345,262 outputs
Outputs of similar age from Journal of Economic Structures
#1
of 3 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 87 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 60% 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 345,262 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 55% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them