↓ Skip to main content

Split miner: automated discovery of accurate and simple business process models from event logs

Overview of attention for article published in Knowledge and Information Systems, May 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
117 Mendeley
Title
Split miner: automated discovery of accurate and simple business process models from event logs
Published in
Knowledge and Information Systems, May 2018
DOI 10.1007/s10115-018-1214-x
Authors

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 17%
Student > Ph. D. Student 20 17%
Researcher 13 11%
Student > Bachelor 10 9%
Student > Doctoral Student 4 3%
Other 12 10%
Unknown 38 32%
Readers by discipline Count As %
Computer Science 42 36%
Business, Management and Accounting 10 9%
Engineering 10 9%
Medicine and Dentistry 4 3%
Materials Science 2 2%
Other 3 3%
Unknown 46 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 May 2018.
All research outputs
#13,981,574
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#228
of 614 outputs
Outputs of similar age
#169,867
of 329,071 outputs
Outputs of similar age from Knowledge and Information Systems
#4
of 10 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 62% 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 329,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.