| Title |
Test them all, is it worth it? Assessing configuration sampling on the JHipster Web development stack
|
|---|---|
| Published in |
Empirical Software Engineering, July 2018
|
| DOI | 10.1007/s10664-018-9635-4 |
| Authors |
Axel Halin, Alexandre Nuttinck, Mathieu Acher, Xavier Devroey, Gilles Perrouin, Benoit Baudry |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 20% |
| France | 2 | 13% |
| Germany | 1 | 7% |
| Belgium | 1 | 7% |
| Peru | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Scientists | 4 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Researcher | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 19 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 55% |
| Engineering | 1 | 2% |
| Unknown | 19 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 18 September 2020.
All research outputs
#2,825,771
of 24,002,307 outputs
Outputs from Empirical Software Engineering
#56
of 734 outputs
Outputs of similar age
#51,610
of 299,699 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 16 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 734 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% of its peers.
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 299,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.