Dataset artefacts can partially drive the measured decline in disruption

TL;DR - This Nature paper examines whether dataset artefacts partly explain the measured decline in disruptive research. Only the title is provided, so the specific methods and findings are unavailable.

• Focuses on potential measurement bias in disruption metrics.
• Suggests the observed decline is at least partially attributable to dataset construction or quality.
• Matters for interpreting claims that scientific innovation is becoming less disruptive.