| Title |
Developing and evolving a DSL-based approach for runtime monitoring of systems of systems
|
|---|---|
| Published in |
Automated Software Engineering, July 2018
|
| DOI | 10.1007/s10515-018-0241-x |
| Authors |
Rick Rabiser, Jürgen Thanhofer-Pilisch, Michael Vierhauser, Paul Grünbacher, Alexander Egyed |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 27% |
| Researcher | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 87% |
| Agricultural and Biological Sciences | 1 | 7% |
| Engineering | 1 | 7% |
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 22 February 2019.
All research outputs
#13,125,424
of 22,883,326 outputs
Outputs from Automated Software Engineering
#57
of 89 outputs
Outputs of similar age
#161,115
of 326,802 outputs
Outputs of similar age from Automated Software Engineering
#2
of 2 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 89 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 37th percentile – i.e., 37% 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 326,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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.