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Specifying real-time properties with metric temporal logic

Overview of attention for article published in Real-Time Systems, November 1990
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
533 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
1 CiteULike
Title
Specifying real-time properties with metric temporal logic
Published in
Real-Time Systems, November 1990
DOI 10.1007/bf01995674
Authors

Ron Koymans

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Australia 2 2%
Germany 1 1%
United Kingdom 1 1%
United States 1 1%
Canada 1 1%
Singapore 1 1%
Unknown 81 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 37%
Researcher 16 18%
Student > Master 14 16%
Professor 6 7%
Professor > Associate Professor 5 6%
Other 16 18%
Readers by discipline Count As %
Computer Science 52 58%
Engineering 24 27%
Unspecified 7 8%
Agricultural and Biological Sciences 2 2%
Mathematics 1 1%
Other 4 4%

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 23 April 2018.
All research outputs
#3,286,652
of 12,840,843 outputs
Outputs from Real-Time Systems
#14
of 62 outputs
Outputs of similar age
#90,276
of 271,041 outputs
Outputs of similar age from Real-Time Systems
#1
of 1 outputs
Altmetric has tracked 12,840,843 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 62 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 75% 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 271,041 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 66% of its contemporaries.
We're also able to compare this research output to 1 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