| Title |
Machine learning model and strategy for fast and accurate detection of leaks in water supply network
|
|---|---|
| Published in |
Journal of Infrastructure Preservation and Resilience, April 2021
|
| DOI | 10.1186/s43065-021-00021-6 |
| Authors |
Xudong Fan, Xijin Zhang, Xiong ( Bill) Yu |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 11% |
| Unspecified | 7 | 8% |
| Student > Ph. D. Student | 7 | 8% |
| Researcher | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 12 | 13% |
| Unknown | 44 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 25% |
| Unspecified | 7 | 8% |
| Computer Science | 6 | 7% |
| Environmental Science | 3 | 3% |
| Chemical Engineering | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 48 | 52% |
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 15 April 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Journal of Infrastructure Preservation and Resilience
#21
of 69 outputs
Outputs of similar age
#321,880
of 435,301 outputs
Outputs of similar age from Journal of Infrastructure Preservation and Resilience
#6
of 13 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 69 research outputs from this source. They receive a mean Attention Score of 0.9. This one is in the 4th percentile – i.e., 4% 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 435,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.