| Title |
Testing variability-intensive systems using automated analysis: an application to Android
|
|---|---|
| Published in |
Software Quality Journal, November 2014
|
| DOI | 10.1007/s11219-014-9258-y |
| Authors |
José A. Galindo, Hamilton Turner, David Benavides, Jules White |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 20% |
| Student > Ph. D. Student | 9 | 17% |
| Researcher | 6 | 11% |
| Student > Doctoral Student | 3 | 6% |
| Professor | 3 | 6% |
| Other | 11 | 20% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 67% |
| Engineering | 4 | 7% |
| Medicine and Dentistry | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Unknown | 12 | 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 04 October 2019.
All research outputs
#15,760,051
of 25,732,188 outputs
Outputs from Software Quality Journal
#82
of 157 outputs
Outputs of similar age
#140,289
of 271,899 outputs
Outputs of similar age from Software Quality Journal
#2
of 3 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 157 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 43rd percentile – i.e., 43% 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 271,899 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% 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.