| Title |
Model clone detection for rule-based model transformation languages
|
|---|---|
| Published in |
Software and Systems Modeling, October 2017
|
| DOI | 10.1007/s10270-017-0625-6 |
| Authors |
Daniel Strüber, Vlad Acreţoaie, Jennifer Plöger |
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 | 1 | 33% |
| Sweden | 1 | 33% |
| Unknown | 1 | 33% |
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Student > Master | 4 | 22% |
| Student > Doctoral Student | 3 | 17% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 67% |
| Unspecified | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 3 | 17% |
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 05 December 2017.
All research outputs
#13,981,574
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#228
of 721 outputs
Outputs of similar age
#163,816
of 325,313 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 11 outputs
Altmetric has tracked 23,849,058 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 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 60% 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 325,313 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 11 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 63% of its contemporaries.