Evidence map›Paper›PMID 38248207›Full record

ArticleEntropy (Basel, Switzerland)2024

Slope Entropy Characterisation: An Asymmetric Approach to Threshold Parameters Role Analysis.

Mahdy Kouka, David Cuesta-Frau, Vicent Moltó-Gallego

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mahdy KoukaDepartment of System Informatics and Computers, Universitat Politècnica de València, 03801 Alcoy, Spain.
David Cuesta-FrauDepartment of System Informatics and Computers, Universitat Politècnica de València, 03801 Alcoy, Spain.ORCID 0000-0002-0076-0515
Vicent Moltó-GallegoDepartment of System Informatics and Computers, Universitat Politècnica de València, 03801 Alcoy, Spain.ORCID 0009-0002-2263-7400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Slope Entropy (SlpEn) is a novel method recently proposed in the field of time series entropy estimation. In addition to the well-known embedded dimension parameter,

Indexed as

parameter optimisationSlope Entropytime series classification

Identifiers

PMID38248207
PMCPMC10814979

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.