| Title |
Temporal stability in predictive process monitoring
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, June 2018
|
| DOI | 10.1007/s10618-018-0575-9 |
| Authors |
Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Estonia | 2 | 20% |
| Netherlands | 1 | 10% |
| Poland | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 25% |
| Student > Ph. D. Student | 10 | 16% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Researcher | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 33% |
| Engineering | 11 | 17% |
| Business, Management and Accounting | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 21 | 33% |
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 19 June 2018.
All research outputs
#6,459,938
of 24,002,307 outputs
Outputs from Data Mining and Knowledge Discovery
#106
of 550 outputs
Outputs of similar age
#107,543
of 332,802 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 6 outputs
Altmetric has tracked 24,002,307 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 550 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 332,802 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 67% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.