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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

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd 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 6 15%
Unknown 12 31%
Readers by discipline Count As %
Computer Science 18 46%
Engineering 4 10%
Business, Management and Accounting 2 5%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 13 33%
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
#8,632,246
of 25,878,862 outputs
Outputs from Software and Systems Modeling
#120
of 559 outputs
Outputs of similar age
#156,351
of 448,522 outputs
Outputs of similar age from Software and Systems Modeling
#5
of 16 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 559 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 77% 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 448,522 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 64% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.