BibexPy — V2 Helium

Step 2 · Records & Filtering

Define your study corpus with explicit, reproducible inclusion/exclusion criteria — and inspect every record in a fast, sortable table.

Records & Filtering screen
Faceted filters operate on the consolidated dataset; the match count updates live.

Filter dimensions

Refine along several dimensions simultaneously:

  • Publication year and citation count ranges
  • Document type, language, source database
  • Journal, author, WoS/Scopus subject categories
  • Full-text query over titles, abstracts and author/indexed keywords (TI, AB, DE, ID)
  • Quality filters — keep or exclude records by the presence/absence of specific fields (e.g. "must have DOI", "must have abstract")

Each criterion can be cleared individually, and the number of matching records updates in real time as you adjust them.

Presets: reproducible corpora

The complete filter specification can be saved as a named preset, re-applied to other analyses and exported. Your inclusion/exclusion decisions become explicit and reconstructable — exactly what a methods section needs.

Report it

Applied filters are recorded in the audit log, so the final methodology narrative lists your corpus criteria automatically.

Reviewing uncertain pairs

Low-confidence links surfaced by Smart Merge remain reviewable in the same view through the collapsible Uncertain Pairs panel — confirm or reject borderline duplicates without leaving the table. The panel stays closed by default so the record table keeps focus.

Record details

Click any row to open the full record drawer: every field (AU, TI, SO, DE, ID, C1, CR, …) with its provenance, plus a direct DOI link. Fields modified by later harmonization steps are marked with their source.