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Accelerating the Integration of Distributed Water Solutions: A Conceptual Financing Model from the Electricity Sector

Overview of attention for article published in Environmental Management, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
6 X users

Citations

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7 Dimensions

Readers on

mendeley
63 Mendeley
Title
Accelerating the Integration of Distributed Water Solutions: A Conceptual Financing Model from the Electricity Sector
Published in
Environmental Management, August 2017
DOI 10.1007/s00267-017-0914-4
Pubmed ID
Authors

Kimberly J. Quesnel, Newsha K. Ajami, Noemi Wyss

Abstract

Modern challenges require new approaches to urban water management. One solution in the portfolio of potential strategies is the integration of distributed water infrastructure, practices, and technologies into existing systems. However, many practical barriers have prevented the widespread adoption of these systems in the US. The objective of this paper is to address these challenges by developing a conceptual model encompassing regulatory, financial, and governance components that can be used to incorporate new distributed water solutions into our current network. To construct the model, case studies of successfully implemented distributed electricity systems, specifically energy efficiency and renewable energy technologies, were examined to determine how these solutions have become prominent in recent years and what lessons can be applied to the water sector in a similar pursuit. The proposed model includes four action-oriented elements: catalyzing change, establishing funding sources, using resource pathways, and creating innovative governance structures. As illustrated in the model, the water sector should use suite of coordinated policies to promote change, engage end users through fiscal incentives, and encourage research, development and dissemination of new technologies over time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Student > Master 8 13%
Researcher 6 10%
Other 4 6%
Student > Bachelor 2 3%
Other 5 8%
Unknown 25 40%
Readers by discipline Count As %
Engineering 12 19%
Environmental Science 8 13%
Social Sciences 4 6%
Business, Management and Accounting 2 3%
Arts and Humanities 2 3%
Other 8 13%
Unknown 27 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 23 May 2019.
All research outputs
#1,179,317
of 25,382,440 outputs
Outputs from Environmental Management
#57
of 1,914 outputs
Outputs of similar age
#23,776
of 327,377 outputs
Outputs of similar age from Environmental Management
#1
of 19 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,914 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 97% 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 327,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.