| Title |
Comparison of release engineering practices in a large mature company and a startup
|
|---|---|
| Published in |
Empirical Software Engineering, March 2018
|
| DOI | 10.1007/s10664-018-9616-7 |
| Authors |
Eero Laukkanen, Maria Paasivaara, Juha Itkonen, Casper Lassenius |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Finland | 2 | 20% |
| Canada | 1 | 10% |
| Brazil | 1 | 10% |
| Netherlands | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 19% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Bachelor | 10 | 14% |
| Researcher | 5 | 7% |
| Student > Postgraduate | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 20 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 44% |
| Business, Management and Accounting | 7 | 10% |
| Engineering | 6 | 8% |
| Arts and Humanities | 2 | 3% |
| Medicine and Dentistry | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 24 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 29 July 2022.
All research outputs
#3,063,989
of 22,986,950 outputs
Outputs from Empirical Software Engineering
#65
of 707 outputs
Outputs of similar age
#65,119
of 329,753 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 32 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 707 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 329,753 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 80% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.