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Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study

Proceedings of the Royal Society B Biological Sciences(2020)10.1098/rspb.2019.1510Source: DataRank Database

Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study is a research paper published in Proceedings of the Royal Society B Biological Sciences (2020). On theSindex it has a DataRank of 0.519. It has been cited 7 times, with 6 citing works in its 1-hop citation network.

N/A

0.519DataRank · unranked

Scored on demand from live citation data

Deposits data Open Access7 citations · 6 citing works in its network

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Linked data & code

doi

Data availability

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

figshare10.6084/m9.figshare.c.4938057

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 0.16)OA: hybridTopics (30)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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 60%Citation Network 40%

Base Score Contribution

0.312

From this paper's citation signal

Citation Network Contribution

0.207

From 5 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 6 citers.

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Figshare20214 citations30 referencesContributes 0.054
Coexistence of chaotic and non-chaotic attractors in a three-species slow–fast system
Chaos Solitons & Fractals202212 citations48 referencesContributes 0.053
Bagged Filters for Partially Observed Interacting Systems
Journal of the American Statistical Association202110 citations62 referencesContributes 0.039
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters
Statistica Sinica20224 citations49 referencesContributes 0.033

Authors (4)

Susan H. Zhou,Amy Wesolowski ORCID,Bryan T. Grenfell ORCID,Alexander D. Becker ORCID

Live enrichment

PubMed:32315586 PMC:PMC7211440 OpenAlex:https://openalex.org/W3017373843

Fogarty International Center

Grant: Research and Policy for Infectious Disease Dynamic

National Science Foundation

Grant: GRFP

NLM NIH HHS

Grant: DP2 LM013102

Centers for Disease Control and Prevention

Bill and Melinda Gates Foundation

Center for Health and Wellbeing

National Institutes of Health

Burroughs Wellcome Fund

FWCI

0.16

Citation Percentile

0.5%

Citation Trend

2021

2022

2024

2026

hybridLicense: cc-by

journalhttps://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2019.1510

publisherhttps://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2019.1510

publisherhttps://royalsocietypublishing.org/doi/full-xml/10.1098/rspb.2019.1510

journalhttps://doi.org/10.1098/rspb.2019.1510

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32315586

Fields of Study

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology ModelsAnimal Ecology and Behavior Studies

MeSH Terms

HumansLondonMeaslesPopulation DynamicsNonlinear DynamicsEpidemics

Keywords

AttractorMeaslesStatistical physicsEconometricsInferenceContext (archaeology)PopulationDynamics (music)MathematicsGeographyDemographyComputer sciencePhysicsSociologyBiologyArtificial intelligenceVirologyPopulation dynamicsInfectious Disease DynamicsCross-scale DynamicsSpatial Epidemics

Sustainable Development Goals

SDG 0: Good health and well-being

Supporting figures and information for data, modeling, and mixing analysis from Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study

10.6084/m9.figshare.12128559.v1The Royal Society

Supporting figures and information for data, modeling, and mixing analysis from Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study

10.6084/m9.figshare.12128559The Royal Society

Supplementary material from "Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study"

10.6084/m9.figshare.c.4938057.v1The Royal Society

Supplementary material from "Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study"

10.6084/m9.figshare.c.4938057The Royal Society

Coexisting attractors in the context of cross-scale population dynamics: measles in London as a case study

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (4)

Funding (8 grants)

Impact

Open Access

Topics

Linked Datasets (4)

Annotations (Europe PMC)