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Discovering workflow nets using integer linear programming

Overview of attention for article published in Computing, November 2017
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Mentioned by

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1 X user

Citations

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53 Dimensions

Readers on

mendeley
57 Mendeley
Title
Discovering workflow nets using integer linear programming
Published in
Computing, November 2017
DOI 10.1007/s00607-017-0582-5
Authors

S. J. van Zelst, B. F. van Dongen, W. M. P. van der Aalst, H. M. W. Verbeek

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 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 %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Ph. D. Student 8 14%
Student > Bachelor 5 9%
Researcher 5 9%
Professor 4 7%
Other 9 16%
Unknown 14 25%
Readers by discipline Count As %
Computer Science 24 42%
Business, Management and Accounting 4 7%
Engineering 4 7%
Medicine and Dentistry 2 4%
Economics, Econometrics and Finance 2 4%
Other 4 7%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 March 2017.
All research outputs
#21,866,582
of 24,395,432 outputs
Outputs from Computing
#218
of 236 outputs
Outputs of similar age
#294,941
of 336,135 outputs
Outputs of similar age from Computing
#2
of 2 outputs
Altmetric has tracked 24,395,432 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 236 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 336,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.