Correlated evolution of categorical characters under a simple model
Evolution, ISSN: 1558-5646, Vol: 79, Issue: 2, Page: 309-318
2025
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Article Description
I describe a simple model for quantifying the strength of association between two categorical characters evolving on a phylogenetic tree. The model can be used to estimate a correlation statistic that asks whether or not the two characters tend to change at the same time (positive correlation) or at different times (no correlation). This is different than asking if changes in one character are associated with a particular state in another character, which has been the focus of most prior tests for phylogenetic correlation in categorical characters. Analyses of simulated data indicate that positive correlations can be accurately estimated over a range of different tree sizes and phylogenetic signals.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85217132414&origin=inward; http://dx.doi.org/10.1093/evolut/qpae166; http://www.ncbi.nlm.nih.gov/pubmed/39573872; https://academic.oup.com/evolut/article/79/2/309/7906668; https://dx.doi.org/10.1093/evolut/qpae166; https://academic.oup.com/evolut/advance-article-abstract/doi/10.1093/evolut/qpae166/7906668?redirectedFrom=fulltext
Oxford University Press (OUP)
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