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Eddy, a formal language for specifying and analyzing data flow specifications for conflicting privacy requirements

Overview of attention for article published in Requirements Engineering, December 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 207)
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
89 Mendeley
Title
Eddy, a formal language for specifying and analyzing data flow specifications for conflicting privacy requirements
Published in
Requirements Engineering, December 2013
DOI 10.1007/s00766-013-0190-7
Authors

Travis D. Breaux, Hanan Hibshi, Ashwini Rao

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 27%
Student > Ph. D. Student 22 25%
Researcher 11 12%
Student > Doctoral Student 5 6%
Student > Bachelor 4 4%
Other 9 10%
Unknown 14 16%
Readers by discipline Count As %
Computer Science 56 63%
Engineering 7 8%
Business, Management and Accounting 6 7%
Social Sciences 3 3%
Nursing and Health Professions 1 1%
Other 4 4%
Unknown 12 13%
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 26 March 2024.
All research outputs
#7,439,343
of 25,613,746 outputs
Outputs from Requirements Engineering
#34
of 207 outputs
Outputs of similar age
#81,107
of 321,469 outputs
Outputs of similar age from Requirements Engineering
#2
of 4 outputs
Altmetric has tracked 25,613,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 207 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 82% 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 321,469 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 73% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.