| Title |
Decomposing Petri nets for process mining: A generic approach
|
|---|---|
| Published in |
Distributed and Parallel Databases, July 2013
|
| DOI | 10.1007/s10619-013-7127-5 |
| Authors |
Wil M. P. van der Aalst |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 2% |
| Germany | 1 | <1% |
| Indonesia | 1 | <1% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Romania | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 167 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 27% |
| Student > Master | 38 | 21% |
| Student > Bachelor | 15 | 8% |
| Researcher | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 28 | 16% |
| Unknown | 28 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 98 | 55% |
| Business, Management and Accounting | 16 | 9% |
| Engineering | 15 | 8% |
| Economics, Econometrics and Finance | 7 | 4% |
| Mathematics | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 34 | 19% |
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 15 August 2021.
All research outputs
#6,366,562
of 23,854,458 outputs
Outputs from Distributed and Parallel Databases
#32
of 128 outputs
Outputs of similar age
#51,980
of 200,668 outputs
Outputs of similar age from Distributed and Parallel Databases
#2
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 75% 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 200,668 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 73% 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.