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A process for predicting manhole events in Manhattan

Overview of attention for article published in Machine Learning, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,013)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
patent
11 patents

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
57 Mendeley
Title
A process for predicting manhole events in Manhattan
Published in
Machine Learning, January 2010
DOI 10.1007/s10994-009-5166-y
Authors

Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome, Delfina Isaac

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Turkey 1 2%
Unknown 53 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Master 10 18%
Researcher 7 12%
Professor 6 11%
Professor > Associate Professor 5 9%
Other 10 18%
Unknown 5 9%
Readers by discipline Count As %
Computer Science 25 44%
Engineering 13 23%
Mathematics 2 4%
Business, Management and Accounting 2 4%
Linguistics 1 2%
Other 7 12%
Unknown 7 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 24 January 2023.
All research outputs
#1,764,075
of 23,578,918 outputs
Outputs from Machine Learning
#39
of 1,013 outputs
Outputs of similar age
#8,539
of 167,984 outputs
Outputs of similar age from Machine Learning
#1
of 3 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,013 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 96% of its peers.
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 167,984 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% 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. This one has scored higher than all of them