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Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation in BEAST

Systematic Biology(2020)10.1093/sysbio/syaa037Source: DataRank Database

Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation in BEAST is a research paper published in Systematic Biology (2020). On theSindex it has a DataRank of 1.0. It has been cited 21 times, with 17 citing works in its 1-hop citation network.

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1.0DataRank · unranked

Scored on demand from live citation data

Deposits data Open Access21 citations · 17 citing works in its network

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Data from: Markov-modulated continuous-time Markov chains to identify site- and branch-specific evolutionary variation in BEAST · Dryad

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Data availability

Repositories this paper deposited data in (declared in PubMed).

Dryad10.5061/dryad.230s5h0

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)Impact (FWCI 0.67)OA: hybridTopics (56)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)Annotations (3)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 45%Citation Network 55%

Base Score Contribution

0.464

From this paper's citation signal

Citation Network Contribution

0.557

From 14 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 17 citers.

Convergence assessment for Bayesian phylogenetic analysis using MCMC simulation
Methods in Ecology and Evolution202179 citations42 referencesContributes 0.104
Reassessment of the Phylogenetics of Two Pygmy Grasshopper Generic Groups Tetrix and Systolederus through Mitochondrial Phylogenomics Using Four New Mitochondrial Genome Assemblies
Insects202414 citations34 referencesContributes 0.080
A decoupling principle for Markov-modulated chains
Statistics & Probability Letters20214 citations23 referencesContributes 0.070
Evolution is not Uniform Along Coding Sequences
Molecular Biology and Evolution202322 citations52 referencesContributes 0.060
Convergence Assessment for Bayesian Phylogenetic Analysis using MCMC simulation
bioRxiv (Cold Spring Harbor Laboratory)20216 citations36 referencesContributes 0.054

Authors (5)

Mandev S. Gill ORCID,Paul Bastide ORCID,Philippe Lemey ORCID,Marc A. Suchard ORCID,Guy Baele ORCID

Live enrichment

PubMed:32415977 PMC:PMC7744037 OpenAlex:https://openalex.org/W3024650128

Interne Fondsen KU Leuven/Internal Funds KU Leuven

Grant: C14/18/094

Research Foundation – Flanders

Grant: G066215N

Research Foundation – Flanders

Grant: G0D5117N

Research Foundation – Flanders

Grant: G0B9317N

National Science Foundation

Grant: 1264153

Advancing the Molecular Epidemiology of Infectious Diseases through Bayesian Phylogenetics

National Science Foundation

Grant: R01 AI107034

National Science Foundation

Grant: U19 AI135995

Wellcome Trust

Grant: 206298/Z/17/Z

National Institutes of Health

Grant: 3U19AI135995-04S3

Consortium for Viral Systems Biology (CViSB)

Wellcome Trust

Grant: 206298

Putting genomic surveillance at the heart of viral epidemic response.

European Commission

Grant: 725422

The evolutionary dynamics of pathogen emergence and establishment: from Reservoir Detection to Outbreak Control

National Institutes of Health

Grant: 5R01AI107034-05

BAYESIAN MODELING AND DATA INTEGRATION IN INFECTIOUS DISEASE PHYLODYNAMICS

European Union’s Horizon 2020

Research Foundation – Flanders

Research Foundation – Flanders [“Fonds voor Wetenschappelijk Onderzoek – Vlaanderen”, G0E1420N to G.B.]

FWCI

0.67

Citation Percentile

0.7%

Citation Trend

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by-nc

journalhttps://academic.oup.com/sysbio/article-pdf/70/1/181/34927739/syaa037.pdf

publisherhttps://academic.oup.com/sysbio/article-pdf/70/1/181/34927739/syaa037.pdf

publisherhttp://academic.oup.com/sysbio/advance-article-pdf/doi/10.1093/sysbio/syaa037/33483278/syaa037.pdf

publisherhttp://academic.oup.com/sysbio/article-pdf/70/1/181/34927739/syaa037.pdf

journalhttps://doi.org/10.1093/sysbio/syaa037

Fields of Study

Genomics and Phylogenetic StudiesGenetic diversity and population structureEvolution and Paleontology Studies

MeSH Terms

Bayes TheoremComputer SimulationMarkov ChainsModels, GeneticPhylogenySequence AlignmentEvolution, Molecular

Keywords

Substitution (logic)Markov chainInferencePhylogenetic treeMarkov modelHidden Markov modelBayesian inferenceBayesian probabilityComputer scienceBiologyArtificial intelligenceMachine learningGenetics570heterotachy330Evolutionq-bio.PESoftware for Systematics and EvolutionBEAGLEMarkov-modulated models3105 GeneticsEvolution, MolecularGenetic0603 Evolutionary BiologyModelsComputer Simulation3104 Evolutionary biologyPhylogenyEvolutionary Biology0604 GeneticsScience & TechnologyModels, GeneticBEAST3103 EcologyMolecularBayes TheoremDNA-SEQUENCESMarkov ChainsphylogeneticsMODELstat.MEcovarionGeneric health relevanceLife Sciences & BiomedicineSequence Alignment

Data from: Markov-modulated continuous-time Markov chains to identify site- and branch-specific evolutionary variation in BEAST

10.5061/dryad.230s5h0Dryad