| Title |
Guidelines for conducting and reporting case study research in software engineering
|
|---|---|
| Published in |
Empirical Software Engineering, December 2008
|
| DOI | 10.1007/s10664-008-9102-8 |
| Authors |
Per Runeson, Martin Höst |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 4 | 14% |
| United States | 3 | 11% |
| Germany | 2 | 7% |
| Brazil | 2 | 7% |
| Spain | 2 | 7% |
| Canada | 1 | 4% |
| Mexico | 1 | 4% |
| Belgium | 1 | 4% |
| United Kingdom | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 50% |
| Members of the public | 13 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 35 | 1% |
| Brazil | 35 | 1% |
| United Kingdom | 22 | <1% |
| Sweden | 18 | <1% |
| United States | 15 | <1% |
| Spain | 12 | <1% |
| South Africa | 9 | <1% |
| Austria | 9 | <1% |
| Finland | 8 | <1% |
| Other | 120 | 4% |
| Unknown | 2847 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 801 | 26% |
| Student > Ph. D. Student | 721 | 23% |
| Student > Bachelor | 249 | 8% |
| Researcher | 213 | 7% |
| Student > Doctoral Student | 178 | 6% |
| Other | 522 | 17% |
| Unknown | 446 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1652 | 53% |
| Business, Management and Accounting | 289 | 9% |
| Engineering | 287 | 9% |
| Social Sciences | 102 | 3% |
| Economics, Econometrics and Finance | 32 | 1% |
| Other | 220 | 7% |
| Unknown | 548 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 20 September 2021.
All research outputs
#1,926,350
of 25,837,817 outputs
Outputs from Empirical Software Engineering
#32
of 803 outputs
Outputs of similar age
#7,899
of 184,952 outputs
Outputs of similar age from Empirical Software Engineering
#1
of 4 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 803 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 184,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them