You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns
|
|---|---|
| Chapter number | 14 |
| Book title |
Business Process Management
|
| Published in |
arXiv, July 2019
|
| DOI | 10.1007/978-3-030-26619-6_14 |
| Book ISBNs |
978-3-03-026618-9, 978-3-03-026619-6
|
| Authors |
Xixi Lu, Seyed Amin Tabatabaei, Mark Hoogendoorn, Hajo A. Reijers, Lu, Xixi, Tabatabaei, Seyed Amin, Hoogendoorn, Mark, Reijers, Hajo A. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 22% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 44% |
| Engineering | 3 | 7% |
| Business, Management and Accounting | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Unknown | 15 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 January 2020.
All research outputs
#13,578,397
of 23,154,520 outputs
Outputs from arXiv
#228,986
of 952,793 outputs
Outputs of similar age
#170,495
of 346,286 outputs
Outputs of similar age from arXiv
#7,428
of 28,027 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952,793 research outputs from this source. They receive a mean Attention Score of 3.9. 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 346,286 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 50% of its contemporaries.
We're also able to compare this research output to 28,027 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 73% of its contemporaries.