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Method of conditional moments (MCM) for the Chemical Master Equation

Journal of Mathematical Biology(2013)10.1007/s00285-013-0711-5Source: DataRank Database

Method of conditional moments (MCM) for the Chemical Master Equation is a research paper published in Journal of Mathematical Biology (2013). On theSindex it has a DataRank of 4.2. It has been cited 113 times, with 100 citing works in its 1-hop citation network.

N/A

4.2DataRank · unranked

Scored on demand from live citation data

113 citations · 100 citing works in its network

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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:Impact (FWCI 6.60)OA: closedTopics (28)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 17%Citation Network 83%

Base Score Contribution

0.710

From this paper's citation signal

Citation Network Contribution

3.5

From 84 citing papers with measurable signal

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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 100 citers.

SELANSI: a toolbox for simulation of stochastic gene regulatory networks
Bioinformatics201721 citations15 referencesContributes 0.206
Phenotypic switching in gene regulatory networks
Proceedings of the National Academy of Sciences2014197 citations44 referencesContributes 0.120
STAMINA: STochastic Approximate Model-Checker for INfinite-State Analysis
Lecture notes in computer science201915 citations24 referencesContributes 0.116
Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error bounds and Algorithms
TUbilio (Technical University of Darmstadt)201542 citations34 referencesContributes 0.111
Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks
Journal of The Royal Society Interface201513 citations28 referencesContributes 0.094

Authors (5)

V. Wolf,Christiane Fuchs ORCID,Verena Wolf ORCID,Atefeh Kazeroonian ORCID,Fabian Joachim Theis ORCID

Live enrichment

PubMed:23918091 OpenAlex:https://openalex.org/W2127660420

FWCI

6.60

Citation Percentile

1.0%

Citation Trend

2013

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

publisherhttp://link.springer.com/content/pdf/10.1007/s00285-013-0711-5.pdf

publisherhttp://link.springer.com/article/10.1007/s00285-013-0711-5/fulltext.html

publisherhttp://link.springer.com/content/pdf/10.1007/s00285-013-0711-5

journalhttps://doi.org/10.1007/s00285-013-0711-5

repositoryhttps://pubmed.ncbi.nlm.nih.gov/23918091

Fields of Study

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and BioproductionGene expression and cancer classificationBiochemistryData Interpretation, StatisticalGene ExpressionModels, ChemicalProteinsStochastic Processes

MeSH Terms

BiochemistryData Interpretation, StatisticalModels, ChemicalProteinsStochastic ProcessesGene Expression

Keywords

Moment (physics)Master equationGeneralizationStatistical physicsAttractorApplied mathematicsMethod of moments (probability theory)MathematicsComputer scienceMathematical analysisPhysicsStatisticsQuantum mechanics