| Title |
The next evolution of MDE: a seamless integration of machine learning into domain modeling
|
|---|---|
| Published in |
Software and Systems Modeling, May 2017
|
| DOI | 10.1007/s10270-017-0600-2 |
| Authors |
Thomas Hartmann, Assaad Moawad, Francois Fouquet, Yves Le Traon |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 16% |
| Lecturer | 8 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Researcher | 6 | 8% |
| Other | 11 | 14% |
| Unknown | 30 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 35% |
| Engineering | 5 | 6% |
| Social Sciences | 4 | 5% |
| Arts and Humanities | 3 | 4% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 32 | 40% |
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 28 September 2017.
All research outputs
#16,391,977
of 25,878,862 outputs
Outputs from Software and Systems Modeling
#280
of 559 outputs
Outputs of similar age
#189,728
of 331,675 outputs
Outputs of similar age from Software and Systems Modeling
#5
of 7 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 is in the 47th percentile – i.e., 47% 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 331,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.