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Citations and metrics of journals discontinued from Scopus for publication concerns: the GhoS(t)copus Project

2020· preprint· en· W3026288581 on OpenAlexaff
Andrea Cortegiani, Mariachiara Ippolito, Giulia Ingoglia, Andrea Manca, Lucia Cugusi, Anna Severin, Michaela Strinzel, Vera Panzarella, Giuseppina Campisi, Manoj M. Lalu, Cesare Gregoretti, Sharon Einav, David Moher, Antonino Giarratano

Bibliographic record

VenueF1000Research · 2020
Typepreprint
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsScopusBiologyMEDLINE

Abstract

fetched live from OpenAlex

Background: Scopus is a leading bibliometric database. It contains a large part of the articles cited in peer-reviewed publications . The journals included in Scopus are periodically re-evaluated to ensure they meet indexing criteria and some journals might be discontinued for 'publication concerns'. Previously published articles may remain indexed and can be cited. Their metrics have yet to be studied. This study aimed to evaluate the main features and metrics of journals discontinued from Scopus for publication concerns, before and after their discontinuation, and to determine the extent of predatory journals among the discontinued journals. Methods: We surveyed the list of discontinued journals from Scopus (July 2019). Data regarding metrics, citations and indexing were extracted from Scopus or other scientific databases, for the journals discontinued for publication concerns. Results: A total of 317 journals were evaluated. Ninety-three percent of the journals (294/317) declared they published using an Open Access model. The subject areas with the greatest number of discontinued journals were Medicine (52/317; 16%), Agriculture and Biological Science (34/317; 11%), and Pharmacology, Toxicology and Pharmaceutics (31/317; 10%). The mean number of citations per year after discontinuation was significantly higher than before (median of difference 16.89 citations, p<0.0001), and so was the number of citations per document (median of difference 0.42 citations, p<0.0001). Twenty-two percent (72/317) were included in the Cabell’s blacklist. The DOAJ currently included only 9 journals while 61 were previously included and discontinued, most for 'suspected editorial misconduct by the publisher'. Conclusions: Journals discontinued for 'publication concerns' continue to be cited despite discontinuation and predatory behaviour seemed common. These citations may influence scholars’ metrics prompting artificial career advancements, bonus systems and promotion. Countermeasures should be taken urgently to ensure the reliability of Scopus metrics for the purpose of scientific assessment of scholarly publishing at both journal- and author-level.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.144
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Research integrity
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.999
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.144
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0520.078
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.902
GPT teacher head0.695
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainEvaluation
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2020
Admission routes1
Has abstractyes

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