| Title |
Developing a Model Driven Approach for engineering applications based on mOSAIC
|
|---|---|
| Published in |
Cluster Computing, April 2013
|
| DOI | 10.1007/s10586-013-0263-x |
| Authors |
Vlado Stankovski, Dana Petcu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Croatia | 1 | 8% |
| Russia | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 42% |
| Professor > Associate Professor | 3 | 25% |
| Researcher | 2 | 17% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 83% |
| Unspecified | 2 | 17% |
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 14 November 2014.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Cluster Computing
#224
of 272 outputs
Outputs of similar age
#146,181
of 194,148 outputs
Outputs of similar age from Cluster Computing
#4
of 5 outputs
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So far Altmetric has tracked 272 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 7th percentile – i.e., 7% 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 194,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.