Evidence map›Paper›PMID 41653440›Full record

ArticleThe Libyan journal of medicine2026

Comparative analysis of research quantity, quality, and impact in MENA research centers.

Amin Bredan

Abstract readComparative Study
In one paragraph

Article in The Libyan journal of medicine, 2026. 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

1 author.

Amin BredanInflammation Research Center & Ghent University Department of Molecular Biomedical Research, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research performance in the Middle East and North Africa (MENA) is often assessed using national aggregates that mask substantial institutional variation. Evidence on how output, quality, and excellence relate to economic resources and institutional capacity across the region remains limited. Data from the SCImago Research Centers Rankings were used to analyze 321 non-university, non-health research centers across 22 MENA countries. Indicators included research output, Quality, Excellence, collaboration, innovation, and Institutional Citation Impact per researcher (ICI/T). Analyses were conducted at both country and institutional levels using descriptive statistics, correlation analysis, and clustering. The analysis reveals extreme heterogeneity within and across countries. National income is strongly associated with research Excellence but shows a much weaker relationship with baseline Quality. ICI/T is strongly associated with Excellence and displays reduced variance at higher values, indicating increasing stability of elite performance. Clustering identifies multiple tiers of research systems that cut across income categories. A small group of countries exhibits disproportionately high Excellence relative to weak institutional impact, consistent with structural decoupling. International collaboration supports Quality but does not predict Excellence, while regional and industry collaboration remain limited. Economic resources accelerate elite research performance but do not guarantee high baseline quality. Long-term research performance in the MENA region depends primarily on institutional alignment, governance, and sustained capacity building rather than output expansion alone.

Indexed as

Biomedical ResearchResearchAcademiaAfrica, NorthernHumansMiddle EastbibliometricsMiddle EastNorth Africaperformancequalityresearch performance

Identifiers

PMID41653440
PMCPMC12885013

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.