| Title |
A large-scale study of architectural evolution in open-source software systems
|
|---|---|
| Published in |
Empirical Software Engineering, November 2016
|
| DOI | 10.1007/s10664-016-9466-0 |
| Authors |
Pooyan Behnamghader, Duc Minh Le, Joshua Garcia, Daniel Link, Arman Shahbazian, Nenad Medvidovic |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 38% |
| Student > Master | 11 | 19% |
| Lecturer | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 71% |
| Engineering | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Unknown | 12 | 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 02 September 2017.
All research outputs
#7,474,629
of 22,982,639 outputs
Outputs from Empirical Software Engineering
#287
of 706 outputs
Outputs of similar age
#113,618
of 312,919 outputs
Outputs of similar age from Empirical Software Engineering
#18
of 31 outputs
Altmetric has tracked 22,982,639 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 706 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 58% 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 312,919 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 63% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.