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Automated Discovery of Process Models from Event Logs: Review and Benchmark

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
5 X users
patent
3 patents

Readers on

mendeley
351 Mendeley
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Article details
Title
Automated Discovery of Process Models from Event Logs: Review and Benchmark
Published in
IEEE Transactions on Knowledge and Data Engineering, May 2018
DOI 10.1109/tkde.2018.2841877
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 profiles of 5 X users 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 351 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 351 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 56 16%
Student > Ph. D. Student 43 12%
Student > Bachelor 28 8%
Researcher 27 8%
Lecturer 17 5%
Other 38 11%
Unknown 142 40%
Readers by discipline
Readers by discipline Count As %
Computer Science 115 33%
Engineering 29 8%
Business, Management and Accounting 26 7%
Economics, Econometrics and Finance 9 3%
Unspecified 4 1%
Other 17 5%
Unknown 151 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 06 January 2026.
All research outputs
#3,377,597
of 31,660,612 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#70
of 2,889 outputs
Outputs of similar age
#54,083
of 362,544 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#1
of 72 outputs
Altmetric has tracked 31,660,612 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,889 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 362,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 72 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 98% of its contemporaries.