Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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
13 authors.
Kyriakos KalpakoglouVisual Computing Laboratory (VCL), Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 570 01 Thessaloniki, Greece.ORCID 0009-0004-4117-0281
Perla Degli InnocentiHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43121 Parma, Italy.ORCID 0000-0002-5678-4444
Federica BergamoHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43121 Parma, Italy.ORCID 0009-0001-5351-5070
Davide BerettaArtificial Intelligence Laboratory, Department of Engineering for Industrial Systems and Technologies, University of Parma, 43121 Parma, Italy.ORCID 0000-0002-6694-9011
Federico BergentiArtificial Intelligence Laboratory, Department of Engineering for Industrial Systems and Technologies, University of Parma, 43121 Parma, Italy.ORCID 0000-0002-4756-4765
Alice RosiHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43121 Parma, Italy.ORCID 0000-0001-8533-797X
Francesca ScazzinaHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43121 Parma, Italy.ORCID 0000-0002-5372-8658
Lorena Calderón-PérezTechnological Unit of Nutrition and Health, Eurecat, Technology Centre of Catalonia, 43204 Reus, Spain.ORCID 0000-0003-0766-0733
Noemi BoquéTechnological Unit of Nutrition and Health, Eurecat, Technology Centre of Catalonia, 43204 Reus, Spain.ORCID 0000-0001-7173-5512
Metin GüldaşDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Bursa Uludag University, 16059 Bursa, Türkiye.ORCID 0000-0002-5187-9380
Çağla Erdoğan DemirDepartment of Biotechnology, Graduate School of Natural and Applied Sciences, Bursa Uludag University, 16059 Bursa, Türkiye.ORCID 0000-0002-4281-0904
Lazaros P GymnopoulosVisual Computing Laboratory (VCL), Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 570 01 Thessaloniki, Greece.ORCID 0000-0003-3310-102X
Kosmas DimitropoulosVisual Computing Laboratory (VCL), Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 570 01 Thessaloniki, Greece.ORCID 0000-0003-1584-7047
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.
SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet. · full record | OpenQuestion