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Weighted spectral clustering for water distribution network partitioning

Overview of attention for article published in Applied Network Science, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
40 Mendeley
Title
Weighted spectral clustering for water distribution network partitioning
Published in
Applied Network Science, June 2017
DOI 10.1007/s41109-017-0033-4
Pubmed ID
Authors

Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco, Giovanni Francesco Santonastaso

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

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 28%
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Bachelor 4 10%
Professor > Associate Professor 2 5%
Other 1 3%
Unknown 10 25%
Readers by discipline Count As %
Engineering 24 60%
Computer Science 5 13%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 July 2017.
All research outputs
#13,868,046
of 22,985,065 outputs
Outputs from Applied Network Science
#287
of 503 outputs
Outputs of similar age
#165,867
of 314,551 outputs
Outputs of similar age from Applied Network Science
#10
of 19 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 42nd percentile – i.e., 42% 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 314,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.