| Title |
A unifying framework for homogeneous model composition
|
|---|---|
| Published in |
Software and Systems Modeling, January 2019
|
| DOI | 10.1007/s10270-018-00707-8 |
| Authors |
Jörg Kienzle, Gunter Mussbacher, Benoit Combemale, Julien Deantoni |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Researcher | 2 | 18% |
| Professor | 1 | 9% |
| Lecturer | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 45% |
| Linguistics | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 3 | 27% |
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 01 February 2019.
All research outputs
#15,394,109
of 25,878,862 outputs
Outputs from Software and Systems Modeling
#219
of 559 outputs
Outputs of similar age
#234,897
of 448,819 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 4 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 559 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 59% 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 448,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.