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Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution

Overview of attention for article published in Molecular Biology and Evolution, June 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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10 X users

Readers on

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14 Mendeley
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Article details
Title
Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution
Published in
Molecular Biology and Evolution, June 2022
DOI 10.1093/molbev/msac143
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 14 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 14 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 2 14%
Professor > Associate Professor 1 7%
Researcher 1 7%
Unknown 6 43%
Readers by discipline
Readers by discipline Count As %
Computer Science 3 21%
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 June 2022.
All research outputs
#6,319,507
of 25,552,933 outputs
Outputs from Molecular Biology and Evolution
#2,606
of 5,237 outputs
Outputs of similar age
#115,409
of 445,355 outputs
Outputs of similar age from Molecular Biology and Evolution
#49
of 69 outputs
Altmetric has tracked 25,552,933 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has gotten more attention than average, scoring higher than 50% 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 445,355 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 74% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.