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Unlocking the potential of smart grid technologies with behavioral science

Overview of attention for article published in Frontiers in Psychology, April 2015
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Title
Unlocking the potential of smart grid technologies with behavioral science
Published in
Frontiers in Psychology, April 2015
DOI 10.3389/fpsyg.2015.00410
Pubmed ID
Authors

Nicole D. Sintov, P. Wesley Schultz

Abstract

Smart grid systems aim to provide a more stable and adaptable electricity infrastructure, and to maximize energy efficiency. Grid-linked technologies vary widely in form and function, but generally share common potentials: to reduce energy consumption via efficiency and/or curtailment, to shift use to off-peak times of day, and to enable distributed storage and generation options. Although end users are central players in these systems, they are sometimes not central considerations in technology or program design, and in some cases, their motivations for participating in such systems are not fully appreciated. Behavioral science can be instrumental in engaging end-users and maximizing the impact of smart grid technologies. In this paper, we present emerging technologies made possible by a smart grid infrastructure, and for each we highlight ways in which behavioral science can be applied to enhance their impact on energy savings.

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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Denmark 1 <1%
Korea, Republic of 1 <1%
Unknown 119 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Researcher 19 15%
Student > Master 13 11%
Other 9 7%
Student > Doctoral Student 8 7%
Other 17 14%
Unknown 27 22%
Readers by discipline Count As %
Engineering 16 13%
Psychology 13 11%
Energy 10 8%
Business, Management and Accounting 10 8%
Social Sciences 9 7%
Other 32 26%
Unknown 33 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2015.
All research outputs
#15,347,611
of 22,829,083 outputs
Outputs from Frontiers in Psychology
#18,681
of 29,808 outputs
Outputs of similar age
#157,738
of 264,865 outputs
Outputs of similar age from Frontiers in Psychology
#356
of 470 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 31st percentile – i.e., 31% 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 264,865 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 470 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.