PubMed
Biomedical and life-sciences literature.
Search seven supplementary sources spanning scholarly databases, preprints, open repositories, and official government publications. Lumina combines and labels the results, removes duplicates, and moves them into one screening workspace.
7 supplementary sources · 5-language government search · automatic deduplication
Enter a topic or Boolean query to see the Lumina workflow.
Example workflow for “metformin AND diabetes mellitus”
This public page shows the sources and processing steps. It does not query live databases or display invented search results.
Step 1
Combine records
Bring results from all selected sources into one list.
Step 2
Remove duplicates
Match repeated citations using DOI and normalized title data.
Step 3
Check metadata
Use Crossref to complete available DOI and citation fields.
Create a Lumina workspace, search all seven sources, and move selected scholarly and government records directly into screening.
Researchers often rely on established databases such as Scopus. Lumina does not ask you to abandon that method. It adds sources with different disciplinary and open-research coverage, plus official reports and policy evidence that may never appear in journal indexes.
For formal systematic reviews, always validate the search syntax and document the strategy used for each source.
Keep your established Scopus query and export.
Preserve your documented core search method.
01 Search seven additional sources in parallel.
02 Merge and deduplicate the returned citations.
03 Check available metadata with Crossref.
04 Screen everything in one workspace.
The search spans biomedical, multidisciplinary, preprint, open-research, and official government publication sources.
Biomedical and life-sciences literature.
Multidisciplinary scholarly works and relationships.
Preprints across technical and quantitative fields.
Life-sciences publications and open research records.
Recent biology and health-sciences preprints.
Open-science, repository, funding, and EU research records.
Official national and European portals (CELLAR & GOV.UK) with multilingual query expansion across English, Dutch, German, French, and Spanish (not necessarily peer-reviewed).
After retrieval, Lumina uses Crossref records to verify DOIs and complete citation fields when that metadata is available. Source records can still contain gaps, so Lumina does not claim that every field can always be completed.
A single workflow handles the repetitive steps between supplementary discovery and the first screening decision.
Choose the sources and search them in parallel instead of opening separate database and government portals.
Combine records, match duplicates, and fill available citation metadata before screening.
Import selected papers and continue into AI-assisted, traceable title and abstract screening.
Try the complete workflow
Create a free Lumina workspace and test the live multi-database search with your own research topic.
Yes. Lumina can run one search across PubMed, OpenAlex, arXiv, Europe PMC, bioRxiv/medRxiv, OpenAIRE, and a bundled Government publications source, then combine the returned records in one workspace.
Lumina creates equivalent government-search queries in English, Dutch, German, French, and Spanish. You can review and edit those variants before searching. Retrieved government records retain their official source and are marked as grey literature, not as peer-reviewed research.
No. Lumina is designed as a supplementary discovery layer alongside established sources such as Scopus. For a formal systematic review, choose databases appropriate to the research question and document each search strategy.
Lumina supports simple terms and common Boolean operators. Database syntax and indexing differ, so researchers conducting reproducible reviews should validate how their query is interpreted by each selected source.
Lumina compares retrieved citations with available Crossref metadata to verify DOIs and complete fields such as authors, journal details, and publication information when those fields are available.
Lumina compares normalized DOI and title data so repeated records from different sources can be merged before they enter the screening workflow.