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Using extremal events to characterize noisy time series

Journal of Mathematical Biology(2020)10.1007/s00285-020-01471-4Source: DataRank Database

Using extremal events to characterize noisy time series is a research paper published in Journal of Mathematical Biology (2020). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)Impact (FWCI 0.45)OA: greenTopics (32)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Bree Cummins ORCID,Robert R. Nerem ORCID,Lauren M. Smith ORCID,Steven B. Haase ORCID,Tomas Gedeon ORCID

Live enrichment

PubMed:32008103 PMC:PMC7093088 OpenAlex:https://openalex.org/W3004414200

National Institutes of Health

Grant: 1R01GM126555-01

National Institutes of Health

Grant: R01 GM126555-03

Defense Advanced Research Projects Agency

Grant: FA8750-17-C-0054

National Science Foundation

Grant: NSF grant DMS-1361240

Agricultural Research Service

Grant: USDA 2015-51106-23970

National Science Foundation

Grant: TRIPODS+X 1839299

NIGMS NIH HHS

Grant: R01 GM126555

NIGMS NIH HHS

Grant: T32 GM007754

FWCI

0.45

Citation Percentile

0.6%

Citation Trend

2019

2020

2022

2023

2024

2025

greenLicense: http://www.springer.com/tdm

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7093088

publisherhttp://link.springer.com/content/pdf/10.1007/s00285-020-01471-4.pdf

publisherhttp://link.springer.com/article/10.1007/s00285-020-01471-4/fulltext.html

journalhttps://doi.org/10.1007/s00285-020-01471-4

Fields of Study

Gene Regulatory Network AnalysisBioinformatics and Genomic NetworksMetabolomics and Mass Spectrometry Studies

MeSH Terms

AlgorithmsCell CycleModels, BiologicalModels, GeneticSaccharomyces cerevisiaeTime FactorsCausalityLinear ModelsDatabases, FactualComputational BiologyGene Regulatory NetworksMathematical ConceptsSignal-To-Noise RatioInterrupted Time Series Analysis

Keywords

Series (stratigraphy)Merge (version control)MathematicsAlgorithmMaxima and minimaTime seriesSequence (biology)Function (biology)Computer scienceApplied mathematicsStatisticsMathematical analysisPartial OrdersMerge TreesOrder Of Extrema

Using extremal events to characterize noisy time series

FAIR Checklist

Authors (6)

Funding (8 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)