Title |
Usage and attribution of Stack Overflow code snippets in GitHub projects
|
---|---|
Published in |
Empirical Software Engineering, October 2018
|
DOI | 10.1007/s10664-018-9650-5 |
Authors |
Sebastian Baltes, Stephan Diehl |
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 % |
---|---|---|
Germany | 2 | 20% |
Canada | 1 | 10% |
Singapore | 1 | 10% |
Chile | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 50% |
Members of the public | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 20% |
Student > Master | 7 | 14% |
Student > Doctoral Student | 4 | 8% |
Professor > Associate Professor | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 7 | 14% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 55% |
Environmental Science | 1 | 2% |
Arts and Humanities | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 18 | 37% |
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 28 August 2023.
All research outputs
#1,707,803
of 24,340,143 outputs
Outputs from Empirical Software Engineering
#29
of 747 outputs
Outputs of similar age
#36,688
of 347,708 outputs
Outputs of similar age from Empirical Software Engineering
#1
of 20 outputs
Altmetric has tracked 24,340,143 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 747 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 347,708 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 89% of its contemporaries.
We're also able to compare this research output to 20 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 99% of its contemporaries.