| Title |
Discovering more precise process models from event logs by filtering out chaotic activities
|
|---|---|
| Published in |
Journal of Intelligent Information Systems, May 2018
|
| DOI | 10.1007/s10844-018-0507-6 |
| Authors |
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 18% |
| Australia | 1 | 9% |
| United States | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 16% |
| Student > Ph. D. Student | 17 | 15% |
| Student > Bachelor | 11 | 9% |
| Researcher | 8 | 7% |
| Student > Doctoral Student | 4 | 3% |
| Other | 17 | 15% |
| Unknown | 40 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 37% |
| Business, Management and Accounting | 11 | 9% |
| Engineering | 8 | 7% |
| Social Sciences | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 40 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 May 2018.
All research outputs
#6,634,200
of 23,852,579 outputs
Outputs from Journal of Intelligent Information Systems
#36
of 188 outputs
Outputs of similar age
#112,357
of 328,460 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#2
of 2 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 81% 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 328,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
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.