Evidence map›Paper›PMID 39712844›Full record

ArticleCureus2024

Decoding Correlations in Predatory Business Practices and Physicians' Strategies Against Daily Predatory Emails.

Alessandro Martinino, Frank Smeenk, Valentina Basile, Juan Pablo Scarano Pereira, Dharmanand Ramnarain, Sjaak Pouwels

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Alessandro MartininoSurgery, Duke University, Durham, USA.
Frank SmeenkSchool of Health Professions Education (SHE), Maastricht University, Maastricht, NLD.
Valentina BasileInternal Medicine, Sanacare Medical Practice, Lugano, CHE.
Juan Pablo Scarano PereiraMedicine, Complutense University, Madrid, ESP.
Dharmanand RamnarainIntensive Care Medicine, Saxenburg Medisch Centrum Hardenberg, Tilurg, NLD.
Sjaak PouwelsIntensive Care Medicine, Elisabeth-Tweesteden Hospital, Tilburg, NLD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Predatory journals are marked by inadequate editorial practices and peer review processes, diverging from established global standards in scientific publishing. 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 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, receiving more than 10 emails/week compared 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.

Indexed as

academic spamelectronic mailpredatory journalsurveytime management

Identifiers

PMID39712844
PMCPMC11663541

What Socratic 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 Socratic graph.