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Mendeley readers
Attention Score in Context
| Title |
A model-driven approach to automate the propagation of changes among Architecture Description Languages
|
|---|---|
| Published in |
Software and Systems Modeling, July 2010
|
| DOI | 10.1007/s10270-010-0170-z |
| Authors |
Romina Eramo, Ivano Malavolta, Henry Muccini, Patrizio Pelliccione, Alfonso Pierantonio |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| Italy | 2 | 4% |
| Hungary | 1 | 2% |
| France | 1 | 2% |
| Austria | 1 | 2% |
| Brazil | 1 | 2% |
| China | 1 | 2% |
| Unknown | 41 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 28% |
| Student > Ph. D. Student | 11 | 22% |
| Student > Bachelor | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 90% |
| Engineering | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Unknown | 2 | 4% |
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 28 August 2014.
All research outputs
#7,866,480
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#135
of 721 outputs
Outputs of similar age
#34,526
of 95,835 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 71% 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 95,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them