Evidence map›Paper›PMID 35222627›Full record

ArticleComputational intelligence and neuroscience2022

Applying Dynamic Systems to Social Media by Using Controlling Stability.

Abdulsattar Abdullah Hamad, M Lellis Thivagar, Malik Bader Alazzam, Fawaz Alassery, Fahima Hajjej, Ali A Shihab

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. CNN-based glioma detection in MRI: A deep learning approach.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
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  5. Functional Localizers for Motor Areas of the Brain Using fMRI.Computational intelligence and neuroscience · 2022
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  6. Diagnosing Cancer Using IOT and Machine Learning Methods.Computational intelligence and neuroscience · 2022
    Article
  7. Article
  8. Review
  9. Automation of Cephalometrics Using Machine Learning Methods.Computational intelligence and neuroscience · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Abdulsattar Abdullah HamadSchool of Mathematics Madurai Kamaraj University, Madurai, India.
M Lellis ThivagarSchool of Mathematics Madurai Kamaraj University, Madurai, India.ORCID https://orcid.org/0000-0001-5997-5185
Malik Bader AlazzamFaculty of Computer Science and Informatics, Amman Arab University, Amman, Jordan.ORCID https://orcid.org/0000-0001-7964-1051
Fawaz AlasseryDepartment of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID https://orcid.org/0000-0002-8187-2286
Fahima HajjejDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID https://orcid.org/0000-0003-1709-5790
Ali A ShihabMathematics Department, Education for Pure Sciences College, Tikrit University, Tikrit, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on hybrid synchronization, a new synchronization phenomenon in which one element of the system is synced with another part of the system that is not allowing full synchronization and nonsynchronization to coexist in the system. When

Indexed as

Social MediaAlgorithmsComputer SimulationHumansNonlinear Dynamics

Identifiers

PMID35222627
PMCPMC8872657

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.