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Sequential data assimilation for 1D self-exciting processes with application to urban crime data

Overview of attention for article published in Computational Statistics & Data Analysis, December 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 1,027)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
44 news outlets
blogs
1 blog
twitter
1 X user
googleplus
1 Google+ user
reddit
2 Redditors

Readers on

mendeley
33 Mendeley
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Article details
Title
Sequential data assimilation for 1D self-exciting processes with application to urban crime data
Published in
Computational Statistics & Data Analysis, December 2018
DOI 10.1016/j.csda.2018.06.014
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 4 12%
Lecturer 2 6%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 4 12%
Unknown 11 33%
Readers by discipline
Readers by discipline Count As %
Mathematics 6 18%
Engineering 5 15%
Computer Science 3 9%
Social Sciences 3 9%
Nursing and Health Professions 2 6%
Other 5 15%
Unknown 9 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 356. 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 31 July 2018.
All research outputs
#108,353
of 32,030,936 outputs
Outputs from Computational Statistics & Data Analysis
#1
of 1,027 outputs
Outputs of similar age
#1,809
of 472,483 outputs
Outputs of similar age from Computational Statistics & Data Analysis
#1
of 16 outputs
Altmetric has tracked 32,030,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,027 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 472,483 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 99% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.