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Uncertainty from Model Calibration: Applying a New Method to Transport Energy Demand Modelling

Overview of attention for article published in Environmental Modeling & Assessment, August 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#44 of 148)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
43 Mendeley
Title
Uncertainty from Model Calibration: Applying a New Method to Transport Energy Demand Modelling
Published in
Environmental Modeling & Assessment, August 2009
DOI 10.1007/s10666-009-9200-z
Authors

Bas van Ruijven, Jeroen P. van der Sluijs, Detlef P. van Vuuren, Peter Janssen, Peter S. C. Heuberger, Bert de Vries

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Norway 1 2%
Australia 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Student > Master 12 28%
Student > Ph. D. Student 4 9%
Other 3 7%
Student > Bachelor 2 5%
Other 4 9%
Unknown 5 12%
Readers by discipline Count As %
Environmental Science 12 28%
Earth and Planetary Sciences 5 12%
Engineering 5 12%
Agricultural and Biological Sciences 3 7%
Energy 3 7%
Other 10 23%
Unknown 5 12%
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 30 January 2017.
All research outputs
#7,575,658
of 23,102,082 outputs
Outputs from Environmental Modeling & Assessment
#44
of 148 outputs
Outputs of similar age
#32,427
of 91,256 outputs
Outputs of similar age from Environmental Modeling & Assessment
#1
of 2 outputs
Altmetric has tracked 23,102,082 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 148 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 91,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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