| Title |
An integrated crosscutting concern migration strategy and its semi-automated application to JHotDraw
|
|---|---|
| Published in |
Automated Software Engineering, March 2009
|
| DOI | 10.1007/s10515-009-0051-2 |
| Authors |
Marius Marin, Arie van Deursen, Leon Moonen, Robin van der Rijst |
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 % |
|---|---|---|
| Netherlands | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 5% |
| United States | 1 | 5% |
| Norway | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 17 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Researcher | 4 | 19% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 71% |
| Engineering | 3 | 14% |
| Unknown | 3 | 14% |
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 31 October 2016.
All research outputs
#15,390,684
of 22,896,955 outputs
Outputs from Automated Software Engineering
#63
of 89 outputs
Outputs of similar age
#90,648
of 107,197 outputs
Outputs of similar age from Automated Software Engineering
#1
of 1 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 11th percentile – i.e., 11% 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 107,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them