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Reversible computing from a programming language perspective

Overview of attention for article published in Theoretical Computer Science, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Reversible computing from a programming language perspective
Published in
Theoretical Computer Science, April 2023
DOI 10.1016/j.tcs.2022.06.010
Authors

Robert Glück, Tetsuo Yokoyama

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Postgraduate 1 14%
Unknown 5 71%
Readers by discipline Count As %
Business, Management and Accounting 1 14%
Physics and Astronomy 1 14%
Unknown 5 71%
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 21 March 2024.
All research outputs
#8,544,090
of 25,392,582 outputs
Outputs from Theoretical Computer Science
#337
of 1,869 outputs
Outputs of similar age
#150,126
of 421,804 outputs
Outputs of similar age from Theoretical Computer Science
#1
of 7 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,869 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 46th percentile – i.e., 46% 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 421,804 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 61% of its contemporaries.
We're also able to compare this research output to 7 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