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Optimization Techniques for Model Checking Leads-to Properties in a Stratified Way

Overview of attention for article published in ACM Transactions on Software Engineering and Methodology, September 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 304)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
7 news outlets

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Optimization Techniques for Model Checking Leads-to Properties in a Stratified Way
Published in
ACM Transactions on Software Engineering and Methodology, September 2023
DOI 10.1145/3604610
Authors

Canh Minh, Yati Phyo, Adrián Riesco, Kazuhiro Ogata

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 75%
Student > Master 2 25%
Readers by discipline Count As %
Unspecified 6 75%
Computer Science 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 30 July 2023.
All research outputs
#791,889
of 24,529,782 outputs
Outputs from ACM Transactions on Software Engineering and Methodology
#3
of 304 outputs
Outputs of similar age
#5,848
of 167,066 outputs
Outputs of similar age from ACM Transactions on Software Engineering and Methodology
#1
of 4 outputs
Altmetric has tracked 24,529,782 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 167,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% 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 all of them