| Title |
Mining architectural violations from version history
|
|---|---|
| Published in |
Empirical Software Engineering, January 2015
|
| DOI | 10.1007/s10664-014-9348-2 |
| Authors |
Cristiano Maffort, Marco Tulio Valente, Ricardo Terra, Mariza Bigonha, Nicolas Anquetil, André Hora |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 52 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 27% |
| Student > Master | 12 | 22% |
| Student > Doctoral Student | 5 | 9% |
| Researcher | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 15% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 69% |
| Social Sciences | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 20% |
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 01 August 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from Empirical Software Engineering
#623
of 705 outputs
Outputs of similar age
#297,600
of 353,941 outputs
Outputs of similar age from Empirical Software Engineering
#8
of 17 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 353,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.