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A situational method for semi-automated Enterprise Architecture Documentation

Overview of attention for article published in Software and Systems Modeling, April 2014
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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 (90th percentile)

Mentioned by

twitter
3 X users

Citations

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38 Dimensions

Readers on

mendeley
76 Mendeley
Title
A situational method for semi-automated Enterprise Architecture Documentation
Published in
Software and Systems Modeling, April 2014
DOI 10.1007/s10270-014-0407-3
Authors

Matthias Farwick, Christian M. Schweda, Ruth Breu, Inge Hanschke

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

Geographical breakdown

Country Count As %
Japan 1 1%
Netherlands 1 1%
Unknown 74 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 21%
Student > Ph. D. Student 12 16%
Researcher 6 8%
Student > Bachelor 4 5%
Student > Postgraduate 4 5%
Other 11 14%
Unknown 23 30%
Readers by discipline Count As %
Computer Science 39 51%
Business, Management and Accounting 4 5%
Engineering 4 5%
Social Sciences 3 4%
Medicine and Dentistry 1 1%
Other 1 1%
Unknown 24 32%
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 15 May 2014.
All research outputs
#15,265,272
of 25,998,826 outputs
Outputs from Software and Systems Modeling
#219
of 766 outputs
Outputs of similar age
#122,403
of 242,750 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 10 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 766 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 242,750 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them