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Bringing Molecules Back into Molecular Evolution

Overview of attention for article published in PLoS Computational Biology, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
150 Mendeley
citeulike
7 CiteULike
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Title
Bringing Molecules Back into Molecular Evolution
Published in
PLoS Computational Biology, June 2012
DOI 10.1371/journal.pcbi.1002572
Pubmed ID
Authors

Claus O. Wilke

Abstract

Much molecular-evolution research is concerned with sequence analysis. Yet these sequences represent real, three-dimensional molecules with complex structure and function. Here I highlight a growing trend in the field to incorporate molecular structure and function into computational molecular-evolution work. I consider three focus areas: reconstruction and analysis of past evolutionary events, such as phylogenetic inference or methods to infer selection pressures; development of toy models and simulations to identify fundamental principles of molecular evolution; and atom-level, highly realistic computational modeling of molecular structure and function aimed at making predictions about possible future evolutionary events.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
France 2 1%
Brazil 2 1%
United Kingdom 2 1%
Finland 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
New Zealand 1 <1%
Canada 1 <1%
Other 2 1%
Unknown 134 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 32%
Researcher 33 22%
Professor > Associate Professor 11 7%
Student > Master 11 7%
Student > Bachelor 11 7%
Other 29 19%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 56%
Biochemistry, Genetics and Molecular Biology 27 18%
Computer Science 6 4%
Chemistry 6 4%
Physics and Astronomy 3 2%
Other 12 8%
Unknown 12 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 January 2015.
All research outputs
#4,259,984
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#3,509
of 8,960 outputs
Outputs of similar age
#27,868
of 177,599 outputs
Outputs of similar age from PLoS Computational Biology
#36
of 108 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 60% 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 177,599 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 108 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 66% of its contemporaries.