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Designing and modeling innovation across scales for urban water systems

Overview of attention for article published in Urban Ecosystems, July 2019
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

mendeley
65 Mendeley
Title
Designing and modeling innovation across scales for urban water systems
Published in
Urban Ecosystems, July 2019
DOI 10.1007/s11252-019-00882-6
Authors

M. Santelmann, D. Hulse, M. Wright, C. Enright, A. Branscomb, M. Tchintcharauli-Harrison, J. Bolson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 9 14%
Researcher 8 12%
Student > Bachelor 5 8%
Professor 3 5%
Other 7 11%
Unknown 22 34%
Readers by discipline Count As %
Environmental Science 11 17%
Engineering 9 14%
Social Sciences 7 11%
Business, Management and Accounting 2 3%
Economics, Econometrics and Finance 2 3%
Other 7 11%
Unknown 27 42%
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 14 November 2019.
All research outputs
#20,575,461
of 23,152,542 outputs
Outputs from Urban Ecosystems
#692
of 732 outputs
Outputs of similar age
#294,467
of 346,001 outputs
Outputs of similar age from Urban Ecosystems
#19
of 22 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 732 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 1st percentile – i.e., 1% 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 346,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.