| Title |
Program comprehension of domain-specific and general-purpose languages: replication of a family of experiments using integrated development environments
|
|---|---|
| Published in |
Empirical Software Engineering, February 2018
|
| DOI | 10.1007/s10664-017-9593-2 |
| Authors |
Tomaž Kosar, Sašo Gaberc, Jeffrey C. Carver, Marjan Mernik |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 55% |
| Sweden | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Professor > Associate Professor | 5 | 14% |
| Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 8 | 22% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 56% |
| Engineering | 4 | 11% |
| Economics, Econometrics and Finance | 1 | 3% |
| Environmental Science | 1 | 3% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 May 2019.
All research outputs
#3,938,455
of 23,923,403 outputs
Outputs from Empirical Software Engineering
#86
of 733 outputs
Outputs of similar age
#86,647
of 448,765 outputs
Outputs of similar age from Empirical Software Engineering
#8
of 33 outputs
Altmetric has tracked 23,923,403 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 733 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 88% 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 448,765 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 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.