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An interactive tool for UML class model evolution in database applications

Overview of attention for article published in Software and Systems Modeling, September 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Citations

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5 Dimensions

Readers on

mendeley
27 Mendeley
Title
An interactive tool for UML class model evolution in database applications
Published in
Software and Systems Modeling, September 2013
DOI 10.1007/s10270-013-0378-9
Authors

Vukasin Milovanovic, Dragan Milicev

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 30%
Student > Ph. D. Student 5 19%
Student > Bachelor 3 11%
Researcher 3 11%
Lecturer 2 7%
Other 3 11%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 20 74%
Business, Management and Accounting 1 4%
Earth and Planetary Sciences 1 4%
Engineering 1 4%
Unknown 4 15%
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 05 September 2015.
All research outputs
#18,572,005
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#424
of 721 outputs
Outputs of similar age
#147,448
of 205,535 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 13 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 38th percentile – i.e., 38% 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 205,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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 53% of its contemporaries.