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Investigating expressiveness and understandability of hierarchy in declarative business process models

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

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
80 Mendeley
citeulike
1 CiteULike
Title
Investigating expressiveness and understandability of hierarchy in declarative business process models
Published in
Software and Systems Modeling, June 2013
DOI 10.1007/s10270-013-0356-2
Authors

Stefan Zugal, Pnina Soffer, Cornelia Haisjackl, Jakob Pinggera, Manfred Reichert, Barbara Weber

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Austria 2 3%
Turkey 1 1%
Brazil 1 1%
Saudi Arabia 1 1%
Spain 1 1%
United States 1 1%
Unknown 71 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 23%
Researcher 13 16%
Student > Ph. D. Student 13 16%
Student > Bachelor 9 11%
Professor > Associate Professor 5 6%
Other 10 13%
Unknown 12 15%
Readers by discipline Count As %
Computer Science 35 44%
Business, Management and Accounting 12 15%
Engineering 7 9%
Economics, Econometrics and Finance 3 4%
Social Sciences 3 4%
Other 6 8%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#7,866,480
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#135
of 721 outputs
Outputs of similar age
#67,011
of 198,947 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 18 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 71% 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 198,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.