Data · dataset · 2025
Study 3: The ASGLOS Study: A global survey on how predatory journals affect scientific practice
Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/srt7gf
Introduction Predatory journals are marked by inadequate editorial practices and peer review processes, diverging from established global standards in scientific publishing.
Description
This article, as a component of the ASGLOS Study, aims to explore the relationship between participant demographics and their experiences with targeted predatory business activities, including their approaches to managing daily predatory emails.
Methods
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To collect the personal experiences of physicians’ mailboxes on predatory publishing, a Google Form® survey was designed and disseminated from September 2021 to April 2022. Results A total of 978 responses were analyzed from 58 countries around the world. Data underscores a statistically significant association between academic level and email influx (p<0.001).
Participants holding a PhD are disproportionately targeted, with 50.9% receiving more than 10 emails/week compared to 24.2% of those without a PhD (p<0.001). Participants with a more prolific publication record, indicated by higher numbers of overall publications, are inclined to directly delete emails. Also, individuals with a higher H Index (p<0.001) are more prone to occasionally responding to these emails.
Conclusion Our results not only highlight patterns in predatory email reception based on age and academic status but also emphasize the importance of considering academic productivity in understanding the prevalence of predatory solicitations.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FSRT7GF ↗
landing page · from datasets iisg amsterdam
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FSRT7GF ↗
landing page · from portal odissei nl
- DOI doi.org/10.34894/srt7gf ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 2
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FSRT7… ↗
metadata API · from datasets iisg amsterdam
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FSRT7… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Social Sciences · Social Sciences
- From keywords
- Social Science · Social Science
Provenance · 2 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/SRT7GF | 13 d ago | JSON v1 |
| ODISSEI Portal | doi:10.34894/SRT7GF | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |