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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Mining Process Model Descriptions of Daily Life through Event
Abstraction
|
|---|---|
| Chapter number | 5 |
| Book title |
Intelligent Systems and Applications
|
| Published in |
arXiv, May 2017
|
| DOI | 10.1007/978-3-319-69266-1_5 |
| Book ISBNs |
978-3-31-969265-4, 978-3-31-969266-1
|
| Authors |
Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst, N. Tax, N. Sidorova, R. Haakma, W. van der Aalst |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 32% |
| Student > Master | 10 | 20% |
| Professor | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 54% |
| Engineering | 6 | 12% |
| Mathematics | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 June 2017.
All research outputs
#14,066,800
of 22,977,819 outputs
Outputs from arXiv
#254,564
of 942,769 outputs
Outputs of similar age
#169,069
of 313,676 outputs
Outputs of similar age from arXiv
#5,483
of 18,112 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 942,769 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 313,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,112 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.