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Selecting a process variant modeling approach: guidelines and application

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

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
39 Mendeley
Title
Selecting a process variant modeling approach: guidelines and application
Published in
Software and Systems Modeling, December 2017
DOI 10.1007/s10270-017-0648-z
Authors

Banu Aysolmaz, Dennis M. M. Schunselaar, Hajo A. Reijers, Ali Yaldiz

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Master 6 15%
Student > Doctoral Student 3 8%
Lecturer 2 5%
Professor > Associate Professor 2 5%
Other 7 18%
Unknown 11 28%
Readers by discipline Count As %
Computer Science 18 46%
Engineering 4 10%
Business, Management and Accounting 2 5%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 12 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2018.
All research outputs
#7,763,891
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#123
of 721 outputs
Outputs of similar age
#151,201
of 443,950 outputs
Outputs of similar age from Software and Systems Modeling
#7
of 25 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 78% 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 443,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 25 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 72% of its contemporaries.