| Title |
Empirical software engineering experts on the use of students and professionals in experiments
|
|---|---|
| Published in |
Empirical Software Engineering, June 2017
|
| DOI | 10.1007/s10664-017-9523-3 |
| Authors |
Davide Falessi, Natalia Juristo, Claes Wohlin, Burak Turhan, Jürgen Münch, Andreas Jedlitschka, Markku Oivo |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 23% |
| Sweden | 3 | 23% |
| United States | 2 | 15% |
| Australia | 1 | 8% |
| Brazil | 1 | 8% |
| India | 1 | 8% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 4 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| Unknown | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 21% |
| Student > Master | 20 | 14% |
| Professor | 15 | 11% |
| Researcher | 10 | 7% |
| Student > Bachelor | 8 | 6% |
| Other | 23 | 16% |
| Unknown | 35 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 74 | 53% |
| Engineering | 8 | 6% |
| Business, Management and Accounting | 4 | 3% |
| Social Sciences | 2 | 1% |
| Biochemistry, Genetics and Molecular Biology | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 47 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 October 2018.
All research outputs
#4,674,076
of 26,017,215 outputs
Outputs from Empirical Software Engineering
#105
of 804 outputs
Outputs of similar age
#74,988
of 335,080 outputs
Outputs of similar age from Empirical Software Engineering
#6
of 19 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 804 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 335,080 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 77% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.