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 |
PRISM – A Predictive Risk Monitoring Approach for Business Processes
|
|---|---|
| Chapter number | 22 |
| Book title |
Business Process Management
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-319-45348-4_22 |
| Book ISBNs |
978-3-31-945347-7, 978-3-31-945348-4
|
| Authors |
Raffaele Conforti, Sven Fink, Jonas Manderscheid, Maximilian Röglinger, Conforti, Raffaele, Fink, Sven, Manderscheid, Jonas, Röglinger, Maximilian |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 2% |
| Unknown | 48 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Student > Master | 9 | 18% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 31% |
| Business, Management and Accounting | 13 | 27% |
| Engineering | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 September 2016.
All research outputs
#15,454,502
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#4,658
of 8,137 outputs
Outputs of similar age
#212,345
of 333,011 outputs
Outputs of similar age from Lecture notes in computer science
#276
of 503 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 333,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.