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A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints

Overview of attention for article published in Computers, Environment & Urban Systems, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
26 Mendeley
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Title
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints
Published in
Computers, Environment & Urban Systems, October 2022
DOI 10.1016/j.compenvurbsys.2022.101854
Authors

Candace Agonafir, Tarendra Lakhankar, Reza Khanbilvardi, Nir Krakauer, Dave Radell, Naresh Devineni

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 4 15%
Researcher 2 8%
Other 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 11 42%
Readers by discipline Count As %
Engineering 5 19%
Environmental Science 3 12%
Agricultural and Biological Sciences 1 4%
Arts and Humanities 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 14 54%
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 27 July 2022.
All research outputs
#15,532,577
of 25,392,582 outputs
Outputs from Computers, Environment & Urban Systems
#432
of 620 outputs
Outputs of similar age
#203,887
of 439,301 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#10
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 28th percentile – i.e., 28% 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 439,301 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 52% of its contemporaries.
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 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.