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From Bad to Good: Fitness Reversals and the Ascent of Deleterious Mutations

Overview of attention for article published in PLoS Computational Biology, October 2006
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
4 CiteULike
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Title
From Bad to Good: Fitness Reversals and the Ascent of Deleterious Mutations
Published in
PLoS Computational Biology, October 2006
DOI 10.1371/journal.pcbi.0020141
Pubmed ID
Authors

Matthew C Cowperthwaite, J. J Bull, Lauren Ancel Meyers

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
United Kingdom 2 3%
Italy 1 1%
Canada 1 1%
Germany 1 1%
Unknown 69 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 28%
Student > Ph. D. Student 20 25%
Professor 9 11%
Professor > Associate Professor 6 8%
Student > Bachelor 5 6%
Other 13 16%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 56%
Biochemistry, Genetics and Molecular Biology 14 18%
Computer Science 4 5%
Medicine and Dentistry 3 4%
Engineering 2 3%
Other 7 9%
Unknown 5 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 08 January 2024.
All research outputs
#914,578
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#690
of 8,960 outputs
Outputs of similar age
#1,412
of 84,926 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 35 outputs
Altmetric has tracked 25,374,917 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 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 92% 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 84,926 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 98% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.