Abstrackr vs Bibliometrix

Abstrackr is a free web tool for screening citations in systematic reviews. It supports solo work, blinded team screening, pilot rounds, and conflict resolution. After about 100 labels, machine learning ranks remaining citations by predicted relevance. A live PRISMA flow table records screening thresholds, resolved conflicts, exclusion reasons by tag, and analysis of the model’s stop point. Citations can be imported from PubMed, Scopus, or Embase, or uploaded as RIS and CSV files. The service deduplicates records by DOI and PMID and can merge remaining near-duplicates. Results export as CSV or RIS, with a full JSONL download for DuckDB queries. Blinding starts enabled, and changes are logged with user, reason, timestamp, and project snapshots. Member and Leader roles have no stated team-size limit, while reminders arrive 7, 4, and 1 day before deadlines. No installation is needed, and the site directs methodology questions to its community forum.

Bibliometrix is an open-source R tool for quantitative scientometric and bibliometric research. Its analyses include descriptive statistics, co-citation, co-authorship, keyword co-occurrence, thematic mapping, and historiographic networks. It works with bibliographic files from Web of Science, Scopus, Dimensions, The Lens, PubMed, and the Cochrane Library; companion R packages add API support for Dimensions, NCBI PubMed, and Scopus. Biblioshiny provides a web interface for people without coding or R knowledge, while the package can also work with other statistical R packages. Biblioverse packages extend the system from data collection to text and content analysis. The openalexR package can bring publication, author, institution, and concept metadata from OpenAlex into bibliometrix structures. Using bibliometrix or biblioshiny requires R. Stable releases are distributed through CRAN, while a daily-updated GitHub beta may contain minor bugs. PubMed exports lack citation and reference-list metadata, preventing citation, bibliographic coupling, and co-citation links. Web of Science and Scopus service access requires a subscription.