| Title |
Meta3: a code generator framework for domain-specific languages
|
|---|---|
| Published in |
Software and Systems Modeling, March 2018
|
| DOI | 10.1007/s10270-018-0673-6 |
| Authors |
Gábor Kövesdán, László Lengyel |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Macao | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 22% |
| Student > Ph. D. Student | 4 | 22% |
| Student > Master | 3 | 17% |
| Student > Doctoral Student | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 50% |
| Engineering | 3 | 17% |
| Business, Management and Accounting | 1 | 6% |
| Environmental Science | 1 | 6% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 April 2018.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#343
of 721 outputs
Outputs of similar age
#213,013
of 331,828 outputs
Outputs of similar age from Software and Systems Modeling
#5
of 15 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 331,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.