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An accurate probabilistic step finder for time-series analysis

Biophysical Journal(2024)10.1016/j.bpj.2024.01.008Source: DataRank Database

An accurate probabilistic step finder for time-series analysis is a research paper published in Biophysical Journal (2024). On theSindex it has a DataRank of 0.241. It has been cited 4 times.

N/A

0.241DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.49)OA: greenTopics (29)IDs (PubMed, PMC, OpenAlex)SDGs (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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (5)

Max Schweiger ORCID,Ioannis Sgouralis ORCID,Matthew Comstock ORCID,Steve Pressé ORCID,Alex Rojewski ORCID

Live enrichment

PubMed:38204166 PMC:PMC11393690 OpenAlex:https://openalex.org/W4390743772

NSF

Grant: MCB-1919439

NIGMS

Grant: R01GM134426

NIGMS

Grant: R35GM148237

NIGMS

Grant: R01GM130745

FWCI

0.49

Citation Percentile

0.5%

Citation Trend

2024

2025

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11393690/pdf/main.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0006349524000092?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0006349524000092?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11393690

Fields of Study

Advanced Chemical Sensor TechnologiesMass Spectrometry Techniques and ApplicationsGaussian Processes and Bayesian InferenceAlgorithmsBayes TheoremMarkov ChainsProbabilityTime Factors

MeSH Terms

AlgorithmsBayes TheoremMarkov ChainsProbabilityTime Factors

Keywords

AlgorithmSeries (stratigraphy)Probabilistic logicComputer scienceMarkov chainA priori and a posterioriBayesian probabilityHidden Markov modelNoise (video)Maximum a posteriori estimationParametric statisticsNonparametric statisticsMathematicsArtificial intelligenceMachine learningStatistics

Sustainable Development Goals

SDG 0: Affordable and clean energy