| Title |
Towards a decision-making structure for selecting a research design in empirical software engineering
|
|---|---|
| Published in |
Empirical Software Engineering, May 2014
|
| DOI | 10.1007/s10664-014-9319-7 |
| Authors |
Claes Wohlin, Aybüke Aurum |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| Netherlands | 1 | <1% |
| Indonesia | 1 | <1% |
| Uruguay | 1 | <1% |
| Turkey | 1 | <1% |
| Kenya | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 309 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 68 | 21% |
| Student > Ph. D. Student | 59 | 18% |
| Student > Doctoral Student | 31 | 10% |
| Researcher | 20 | 6% |
| Professor | 18 | 6% |
| Other | 67 | 21% |
| Unknown | 56 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 180 | 56% |
| Business, Management and Accounting | 23 | 7% |
| Engineering | 23 | 7% |
| Social Sciences | 7 | 2% |
| Arts and Humanities | 5 | 2% |
| Other | 13 | 4% |
| Unknown | 68 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 December 2021.
All research outputs
#8,262,193
of 25,837,817 outputs
Outputs from Empirical Software Engineering
#277
of 803 outputs
Outputs of similar age
#74,170
of 243,911 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 803 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 64% 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 243,911 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 67% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.