ArticleScientific data2025
CrossDI: A comprehensive dataset crossing three databases for calculating disruption indexes.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- CrossDI: A comprehensive dataset crossing three databases for calculating disruption indexes.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Disruption Index (DI) is a significant metric for identifying research that expands scientific frontiers and pioneers new fields. Unlike readily accessible metrics like citation counts, DI requires complex analysis of citation patterns, specifically, how subsequent research that cites a given work also references its foundational predecessors, representing a paradigm shift in assessing scientific impact. Current DI studies remain largely confined to single indicators, disciplines, or databases, lacking comprehensive benchmarks to evaluate the intrinsic properties and temporal dynamics of diverse DI metrics. To bridge this critical gap, we introduce Cross-source Disruption Indexes (CrossDI) dataset, a comprehensive benchmark resource that integrates multiple established DI metrics for key articles across four fields. Curated from three major bibliographic databases (WoS, Dimensions, and OpenCitations), this dataset is designed as a reusable benchmark for the systematic evaluation and comparison of disruption indexes.
Identifiers
What OpenQuestion holds
Registered trials
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.