Evidence map›Paper›PMID 33267099›Full record

ArticleEntropy (Basel, Switzerland)2019

Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications.

David Cuesta-Frau, Juan Pablo Murillo-Escobar, Diana Alexandra Orrego, Edilson Delgado-Trejos

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Entropy and the Brain: An Overview.Entropy (Basel, Switzerland) · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
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

4 authors.

David Cuesta-FrauTechnological Institute of Informatics, Universitat Politècnica de València, Alcoi Campus, 03801 Alcoi, Spain.ORCID 0000-0002-0076-0515
Juan Pablo Murillo-EscobarGrupo de Investigación e Innovación Biomédica (GI2B), Instituto Tecnológico Metropolitano (ITM), Medellín, Colombia.
Diana Alexandra OrregoGrupo de Investigación e Innovación Biomédica (GI2B), Instituto Tecnológico Metropolitano (ITM), Medellín, Colombia.
Edilson Delgado-TrejosCM&P, Instituto Tecnológico Metropolitano (ITM), Medellín, Colombia.ORCID 0000-0002-4840-478X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Permutation Entropy (PE) is a time series complexity measure commonly used in a variety of contexts, with medicine being the prime example. In its general form, it requires three input parameters for its calculation: time series length

Indexed as

embedded dimensionpermutation entropyrelevance analysisshort time recordssignal classification

Identifiers

PMID33267099
PMCPMC7514869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.