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Bagging Recurrent Event Imputation for Repair of Imperfect Event Log With Missing Categorical Events

Overview of attention for article published in IEEE Transactions on Services Computing, October 2021
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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 (#2 of 246)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
12 news outlets
twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Bagging Recurrent Event Imputation for Repair of Imperfect Event Log With Missing Categorical Events
Published in
IEEE Transactions on Services Computing, October 2021
DOI 10.1109/tsc.2021.3118381
Authors

Sunghyun Sim, Hyerim Bae, Ling Liu

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 7%
Unspecified 1 7%
Unknown 7 47%
Readers by discipline Count As %
Computer Science 4 27%
Unspecified 1 7%
Economics, Econometrics and Finance 1 7%
Engineering 1 7%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 90. 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 22 March 2022.
All research outputs
#471,737
of 25,392,582 outputs
Outputs from IEEE Transactions on Services Computing
#2
of 246 outputs
Outputs of similar age
#11,699
of 438,332 outputs
Outputs of similar age from IEEE Transactions on Services Computing
#1
of 6 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 4.2. 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 438,332 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 97% of its contemporaries.
We're also able to compare this research output to 6 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