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What makes a good process model?

Overview of attention for article published in Software and Systems Modeling, August 2012
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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11 Dimensions

Readers on

mendeley
82 Mendeley
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Title
What makes a good process model?
Published in
Software and Systems Modeling, August 2012
DOI 10.1007/s10270-012-0265-9
Authors

W. M. P. van der Aalst

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 2 2%
Netherlands 1 1%
Egypt 1 1%
Belgium 1 1%
China 1 1%
United States 1 1%
Unknown 75 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Student > Master 13 16%
Student > Bachelor 13 16%
Professor 5 6%
Professor > Associate Professor 4 5%
Other 9 11%
Unknown 22 27%
Readers by discipline Count As %
Computer Science 32 39%
Business, Management and Accounting 12 15%
Engineering 6 7%
Economics, Econometrics and Finance 4 5%
Psychology 2 2%
Other 3 4%
Unknown 23 28%
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 17 November 2012.
All research outputs
#14,405,036
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#249
of 721 outputs
Outputs of similar age
#97,205
of 168,810 outputs
Outputs of similar age from Software and Systems Modeling
#4
of 8 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 57% 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 168,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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 4 of them.