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Identifying Markov Chain Models from Time-to-Event Data: An Algebraic Approach

Overview of attention for article published in Bulletin of Mathematical Biology, December 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

bluesky
5 Bluesky users

Readers on

mendeley
7 Mendeley
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Article details
Title
Identifying Markov Chain Models from Time-to-Event Data: An Algebraic Approach
Published in
Bulletin of Mathematical Biology, December 2024
DOI 10.1007/s11538-024-01385-y
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 2 29%
Unknown 5 71%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Unknown 5 71%
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 22 December 2024.
All research outputs
#8,853,007
of 28,508,201 outputs
Outputs from Bulletin of Mathematical Biology
#316
of 1,373 outputs
Outputs of similar age
#100,874
of 349,346 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#16
of 38 outputs
Altmetric has tracked 28,508,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,373 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 76% 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 349,346 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 71% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.