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Semantic Analysis of a Linear Temporal Extension of Quantum Logic and Its Dynamic Aspect

Overview of attention for article published in ACM Transactions on Computational Logic, March 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

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2 Mendeley
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Title
Semantic Analysis of a Linear Temporal Extension of Quantum Logic and Its Dynamic Aspect
Published in
ACM Transactions on Computational Logic, March 2023
DOI 10.1145/3576926
Authors

Tsubasa Takagi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 January 2023.
All research outputs
#15,332,906
of 23,572,509 outputs
Outputs from ACM Transactions on Computational Logic
#47
of 89 outputs
Outputs of similar age
#189,266
of 376,614 outputs
Outputs of similar age from ACM Transactions on Computational Logic
#2
of 2 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 89 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 376,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.