Evidence map›Paper›PMID 34232462›Full record

ArticleIrish journal of medical science2022

Jourchain: using blockchain to avoid questionable journals.

Mehdi Dadkhah, Fariborz Rahimnia, Sina Rafati Niya, Glenn Borchardt

Abstract read
PubMed Publisher
In one paragraph

Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Diagnosis Unreliability of ChatGPT for Journal Evaluation.Advanced pharmaceutical bulletin · 2024
    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.

Mehdi DadkhahDepartment of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.ORCID http://orcid.org/0000-0001-7964-4762
Fariborz RahimniaDepartment of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran. R-nia@um.ac.ir.ORCID http://orcid.org/0000-0001-9680-6735
Sina Rafati NiyaCommunication Systems Group CSG, Department of Informatics IfI, University of Zürich UZH, Zürich, Switzerland.
Glenn BorchardtProgressive Science Institute, Berkeley, CA, 94705, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scholarly publishing currently is faced by an upsurge in low-quality, questionable "predatory/hijacked" journals published by those whose only goal is profit. Although there are discussions in the literature warning about them, most provide only a few suggestions on how to avoid these journals. Most solutions are not generalizable or have other weaknesses. Here, we use a novel information technology, i.e., blockchains, to expose and prevent the problems produced by questionable journals. Thus, this work presented here sheds light on the advantages of blockchain for producing safe, fraud-free scholarly publishing.

Indexed as

BlockchainPeriodicals as TopicHumansPublishingBlockchainsBogus impact factorsDecentralized systemsHijacked journalsPredatory journalsSmart contracts

Identifiers

PMID34232462

What OpenQuestion holds

Textmetadata
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.