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Mechano-Magnetic Telemetry for Underground Water Infrastructure Monitoring

Overview of attention for article published in Frontiers in Built Environment, June 2018
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Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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27 Mendeley
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Title
Mechano-Magnetic Telemetry for Underground Water Infrastructure Monitoring
Published in
Frontiers in Built Environment, June 2018
DOI 10.3389/fbuil.2018.00029
Authors

Daniel Orfeo, Dylan Burns, Robert Farrell, Ming Qin, Henry Mitchell, Connie Ou, Tian Xia, Dryver R. Huston

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

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Bachelor 4 15%
Student > Ph. D. Student 3 11%
Researcher 2 7%
Other 1 4%
Other 3 11%
Unknown 9 33%
Readers by discipline Count As %
Engineering 8 30%
Computer Science 5 19%
Design 2 7%
Environmental Science 1 4%
Unknown 11 41%
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 19 June 2018.
All research outputs
#19,013,042
of 24,226,848 outputs
Outputs from Frontiers in Built Environment
#414
of 1,191 outputs
Outputs of similar age
#242,055
of 332,228 outputs
Outputs of similar age from Frontiers in Built Environment
#9
of 12 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,191 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 49th percentile – i.e., 49% 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 332,228 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.