Evidence map›Paper›PMID 38864196›Full record

ArticleLa Tunisie medicale2024

Doctoral theses at the medical faculty of Tunis from 2015 to 2017: Scientific publication rates and associated factors.

Hajer Attia, Salsabil Rejaibi, Ghada Wechtati, Ali Mrabet, Nebiha Borsali-Falfoul, Aschraf Chadli

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In one paragraph

Article in La Tunisie medicale, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Hajer AttiaPhysical Medicine Department, Principal Military Hospital, Tunis-Tunisia.
Salsabil RejaibiFaculty of Medicine of Tunis-Tunis El Manar University, Tunis-Tunisia.
Ghada WechtatiPhysical Medicine Department, Principal Military Hospital, Tunis-Tunisia.
Ali MrabetFaculty of Medicine of Tunis-Tunis El Manar University, Tunis-Tunisia.
Nebiha Borsali-FalfoulFaculty of Medicine of Tunis-Tunis El Manar University, Tunis-Tunisia.
Aschraf ChadliFaculty of Medicine of Tunis-Tunis El Manar University, Tunis-Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMedical doctoral thesis publication is a way to ensure knowledge dissemination and to increase the scientific research visibility.

aimTo determine thesis-related publication's rate at the Faculty of Medicine of Tunis (FMT), and identify associated factors.

methodsCross-sectional retrospective study including medical theses registered at the FMT over the study period (2015-2017). All publications related to the defended thesis were collated by scanning Scopus and Google scholar databases, up to April 2022. Binary logistic regression was performed to assess associated factors to publication. Adjusted Odds Ratios (AOR) were presented with 95% confidence interval.

resultsOut of 878 defended theses, 11.8% (n=104) were published. Out of 130 publications in total, 90 (69.2%) interested Scopus-indexed journals with a mean Scimago Journal Rank (SJR) of 0.70. The publication was in English in 73.1% of cases. The median time between the thesis defense and the first scientific publication was 15 months. In multivariable analysis, associated factors to "at least one thesis-related publication" were the resident status of the candidate (AOR=2.35 [1.2-4.7]) and the grade assistant professor of the thesis supervisor (AOR=2.48 [1.1-5.6]).

conclusionCompared to the number of defended theses, the thesis-related publication's rate at the FMT is relatively low. Thus, enhanced support for doctoral students to optimize their engagement in research and to consequently promote scientific publication is highly recommended.

Indexed as

Academic Dissertations as TopicFaculty, MedicalPublishingBibliometricsBiomedical ResearchCross-Sectional StudiesHumansPublicationsRetrospective StudiesSchools, MedicalTunisiaabstractAcademic dissertationbibliometricsmedical facultypublicationTunisia

Identifiers

PMID38864196
PMCPMC11387993

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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.