| Title |
Feature-based classification of bidirectional transformation approaches
|
|---|---|
| Published in |
Software and Systems Modeling, January 2015
|
| DOI | 10.1007/s10270-014-0450-0 |
| Authors |
Soichiro Hidaka, Massimo Tisi, Jordi Cabot, Zhenjiang Hu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 1 | 33% |
| Luxembourg | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Professor > Associate Professor | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 76% |
| Medicine and Dentistry | 1 | 2% |
| Engineering | 1 | 2% |
| Unknown | 9 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 July 2016.
All research outputs
#14,006,272
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#256
of 721 outputs
Outputs of similar age
#191,143
of 385,049 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 8 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% 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 has gotten more attention than average, scoring higher than 63% 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 385,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.