| Title |
Does the level of detail of UML diagrams affect the maintainability of source code?: a family of experiments
|
|---|---|
| Published in |
Empirical Software Engineering, December 2014
|
| DOI | 10.1007/s10664-014-9354-4 |
| Authors |
Ana M. Fernández-Sáez, Marcela Genero, Danilo Caivano, Michel R. V. Chaudron |
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 % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Student > Bachelor | 9 | 14% |
| Student > Master | 8 | 12% |
| Professor | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 62% |
| Engineering | 9 | 14% |
| Social Sciences | 1 | 2% |
| Psychology | 1 | 2% |
| Unknown | 14 | 22% |
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 23 April 2021.
All research outputs
#14,251,396
of 22,851,489 outputs
Outputs from Empirical Software Engineering
#451
of 705 outputs
Outputs of similar age
#186,911
of 353,332 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 13 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 32nd percentile – i.e., 32% 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 353,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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 69% of its contemporaries.