| Title |
Four commentaries on the use of students and professionals in empirical software engineering experiments
|
|---|---|
| Published in |
Empirical Software Engineering, November 2018
|
| DOI | 10.1007/s10664-018-9655-0 |
| Authors |
Robert Feldt, Thomas Zimmermann, Gunnar R. Bergersen, Davide Falessi, Andreas Jedlitschka, Natalia Juristo, Jürgen Münch, Markku Oivo, Per Runeson, Martin Shepperd, Dag I. K. Sjøberg, Burak Turhan |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 14% |
| Netherlands | 1 | 14% |
| Sweden | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
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 | 4 | 9% |
| Researcher | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Professor | 3 | 7% |
| Other | 3 | 7% |
| Other | 10 | 23% |
| Unknown | 16 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 57% |
| Medicine and Dentistry | 1 | 2% |
| Engineering | 1 | 2% |
| Unknown | 17 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 July 2019.
All research outputs
#6,674,480
of 24,002,307 outputs
Outputs from Empirical Software Engineering
#193
of 734 outputs
Outputs of similar age
#132,451
of 444,528 outputs
Outputs of similar age from Empirical Software Engineering
#5
of 14 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 734 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 73% 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 444,528 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.