| Title |
Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm
|
|---|---|
| Published in |
Software Quality Journal, August 2015
|
| DOI | 10.1007/s11219-015-9284-4 |
| Authors |
Usman Mansoor, Marouane Kessentini, Manuel Wimmer, Kalyanmoy Deb |
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 % |
|---|---|---|
| Members of the public | 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 % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 22% |
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 59% |
| Engineering | 6 | 12% |
| Social Sciences | 1 | 2% |
| Unspecified | 1 | 2% |
| Unknown | 12 | 24% |
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 06 December 2015.
All research outputs
#18,422,065
of 22,821,814 outputs
Outputs from Software Quality Journal
#108
of 143 outputs
Outputs of similar age
#189,931
of 264,147 outputs
Outputs of similar age from Software Quality Journal
#4
of 6 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 12th percentile – i.e., 12% 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 264,147 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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.