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An adaptive model for the autonomous monitoring and management of water end use

Overview of attention for article published in Smart Water, November 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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14 Dimensions

Readers on

mendeley
24 Mendeley
Title
An adaptive model for the autonomous monitoring and management of water end use
Published in
Smart Water, November 2018
DOI 10.1186/s40713-018-0012-7
Authors

Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang, Oz Sahin

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Ph. D. Student 5 21%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Researcher 2 8%
Other 1 4%
Unknown 6 25%
Readers by discipline Count As %
Engineering 11 46%
Computer Science 3 13%
Agricultural and Biological Sciences 1 4%
Environmental Science 1 4%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 6 25%
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 22 March 2019.
All research outputs
#14,093,994
of 24,276,163 outputs
Outputs from Smart Water
#7
of 16 outputs
Outputs of similar age
#171,133
of 347,888 outputs
Outputs of similar age from Smart Water
#2
of 3 outputs
Altmetric has tracked 24,276,163 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 9 of them.
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 347,888 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 50% 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.