| Title |
A large study on the effect of code obfuscation on the quality of java code
|
|---|---|
| Published in |
Empirical Software Engineering, July 2014
|
| DOI | 10.1007/s10664-014-9321-0 |
| Authors |
Mariano Ceccato, Andrea Capiluppi, Paolo Falcarin, Cornelia Boldyreff |
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 % |
|---|---|---|
| United Kingdom | 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Student > Bachelor | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Other | 9 | 20% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 70% |
| Unspecified | 1 | 2% |
| Mathematics | 1 | 2% |
| Psychology | 1 | 2% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 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 16 December 2014.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Empirical Software Engineering
#587
of 705 outputs
Outputs of similar age
#163,323
of 227,700 outputs
Outputs of similar age from Empirical Software Engineering
#7
of 10 outputs
Altmetric has tracked 22,774,233 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 705 research outputs from this source. They receive a mean Attention Score of 4.8. 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 227,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.