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A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications

Overview of attention for article published in Software and Systems Modeling, April 2019
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

mendeley
45 Mendeley
Title
A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications
Published in
Software and Systems Modeling, April 2019
DOI 10.1007/s10270-019-00730-3
Authors

Diego Perez-Palacin, José Merseguer, José I. Requeno, M. Guerriero, Elisabetta Di Nitto, D. A. Tamburri

X Demographics

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.
Mendeley readers

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 %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Student > Master 5 11%
Researcher 4 9%
Student > Doctoral Student 4 9%
Student > Postgraduate 2 4%
Other 2 4%
Unknown 15 33%
Readers by discipline Count As %
Computer Science 23 51%
Engineering 3 7%
Business, Management and Accounting 1 2%
Social Sciences 1 2%
Sports and Recreations 1 2%
Other 0 0%
Unknown 16 36%
Attention Score in Context

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 03 May 2019.
All research outputs
#21,069,922
of 25,878,862 outputs
Outputs from Software and Systems Modeling
#422
of 559 outputs
Outputs of similar age
#282,840
of 367,021 outputs
Outputs of similar age from Software and Systems Modeling
#4
of 4 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 559 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 5th percentile – i.e., 5% 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 367,021 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 4 others from the same source and published within six weeks on either side of this one.