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Use, potential, and showstoppers of models in automotive requirements engineering

Overview of attention for article published in Software and Systems Modeling, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
30 Mendeley
Title
Use, potential, and showstoppers of models in automotive requirements engineering
Published in
Software and Systems Modeling, May 2018
DOI 10.1007/s10270-018-0683-4
Authors

Grischa Liebel, Matthias Tichy, Eric Knauss

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

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Master 6 20%
Student > Doctoral Student 3 10%
Student > Postgraduate 3 10%
Student > Bachelor 1 3%
Other 4 13%
Unknown 7 23%
Readers by discipline Count As %
Computer Science 18 60%
Engineering 4 13%
Business, Management and Accounting 1 3%
Unknown 7 23%
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 04 June 2018.
All research outputs
#13,242,747
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#187
of 721 outputs
Outputs of similar age
#156,305
of 332,741 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 9 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 332,741 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 52% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.