| Title |
Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoption
|
|---|---|
| Published in |
Journal of Internet Services and Applications, July 2021
|
| DOI | 10.1186/s13174-021-00134-x |
| Authors |
Marco Autili, Ivano Malavolta, Alexander Perucci, Gian Luca Scoccia, Roberto Verdecchia |
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 % |
|---|---|---|
| Brazil | 1 | 50% |
| Comoros | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 13% |
| Student > Doctoral Student | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Professor | 2 | 5% |
| Lecturer | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 20 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 29% |
| Engineering | 3 | 8% |
| Environmental Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 21 | 55% |
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 29 September 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from Journal of Internet Services and Applications
#133
of 183 outputs
Outputs of similar age
#252,739
of 436,123 outputs
Outputs of similar age from Journal of Internet Services and Applications
#1
of 3 outputs
Altmetric has tracked 23,310,485 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 183 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 4th percentile – i.e., 4% 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 436,123 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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