Evidence map›Paper›PMID 41807024›Full record

ArticleJournal of Korean medical science2026

Altmetric Activity and Scientific Integrity: A Retraction Analysis of PubMed-Indexed Social Media-Related Publications.

Maidan Mukhamediyarov, Olena Zimba, Marlen Yessirkepov, Burhan Fatih Kocyigit

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Maidan MukhamediyarovDepartment of Chemical Disciplines, Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0000-0003-0153-3741
Olena ZimbaDepartment of Rheumatology, Immunology and Internal Medicine, University Hospital in Krakow, Krakow, Poland.ORCID https://orcid.org/0000-0002-4188-8486
Marlen YessirkepovDepartment of Chemical Disciplines, Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0000-0003-2511-6918
Burhan Fatih KocyigitDepartment of Physical Medicine and Rehabilitation, University of Health Sciences, Adana City Research and Training Hospital, Adana, Türkiye. bfk2701@hotmail.com.ORCID https://orcid.org/0000-0002-6065-8002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media is an essential tool for the dissemination of scientific information. The growing number of publications related to social media raises concerns about the proliferation of misleading information in the scientific literature. Retractions act as a crucial corrective mechanism in scholarly publishing; however, their relationship with social media visibility has not been thoroughly examined.

methodsAs part of our descriptive research, 55 retracted social media-related publications indexed in the PubMed database were analyzed. Such characteristics as the number of authors, the time from the date of publication to the retraction, the indexing of publications in the Web of Science, Scopus, and Directory of Open Access Journals databases, the country of the authors of correspondence, the reasons for the retraction, and Altmetric Attention Score (AAS) were analyzed. The data on citations and mentions in various social media platforms were analyzed.

resultsThe highest number of retracted publications was published in 2023 (n = 39), and the median time from publication date to retraction amounted to 541 (28-912) days. China and India were the leading countries for corresponding authorship and international collaborations. The leading causes of retractions were Investigation by Journal/Publisher (n = 45), Unreliable Results and/or Conclusions (n = 41), Concerns/Issues about Referencing/Attributions (n = 37), Concerns/Issues with Peer Review (n = 35), and Concerns/Issues about Results and/or Conclusions (n = 35). The median AAS of retracted publications was 1.5 (1-1,627). A positive correlation was found between the number of citations and AAS (rho = 0.562,

conclusionRetracted social media-related papers can gain substantial digital circulation before formal retraction, highlighting vulnerabilities in the current scientific interaction ecosystem. These findings urge more post-publication supervision, timely retraction notices, and international collaboration to enhance research integrity, especially in the rapid, decentralized digital distribution age.

Indexed as

PublicationsRetraction of Publication as TopicSocial MediaAltmetricsAuthorshipDigital MediaHumansPublishingPubMedAltmetricsInformation ScienceRetraction NoticeRetraction of PublicationSocial Media

Identifiers

PMID41807024
PMCPMC12976632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.