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The next evolution of MDE: a seamless integration of machine learning into domain modeling

Overview of attention for article published in Software and Systems Modeling, May 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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24 Dimensions

Readers on

mendeley
79 Mendeley
Title
The next evolution of MDE: a seamless integration of machine learning into domain modeling
Published in
Software and Systems Modeling, May 2017
DOI 10.1007/s10270-017-0600-2
Authors

Thomas Hartmann, Assaad Moawad, Francois Fouquet, Yves Le Traon

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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 16%
Lecturer 7 9%
Student > Doctoral Student 6 8%
Student > Bachelor 6 8%
Researcher 6 8%
Other 11 14%
Unknown 30 38%
Readers by discipline Count As %
Computer Science 28 35%
Engineering 5 6%
Social Sciences 4 5%
Arts and Humanities 3 4%
Economics, Econometrics and Finance 2 3%
Other 5 6%
Unknown 32 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2017.
All research outputs
#14,906,966
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#288
of 721 outputs
Outputs of similar age
#177,870
of 315,908 outputs
Outputs of similar age from Software and Systems Modeling
#5
of 8 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 52% 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 315,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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 3 of them.