Search result overlap audit
Count unique contributions of two record exports and their Jaccard overlap.
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Use one row per A or B record identifier, with the same identifier system in both exports. Repeated identifiers within a source count once; matching is case-sensitive after surrounding spaces are trimmed. Both exports must be nonempty. Shared means the same identifier, not a confirmed duplicate study.
The starting values are hypothetical. Results update as you edit. Use aggregate or synthetic inputs only.
Calculation results
- Shared identifiers
- 1
- Only A
- 1
- Only B
- 1
- Jaccard overlap
- 0.33333333
How to interpret the output
Use a common exact identifier namespace. Within-export repeats count once. Jaccard overlap is intersection divided by union. A unique identifier represents a record and may still refer to the same underlying study.
Method reference