The primary concern with misattribution is that it can cause researchers to pursue ineffective or incorrect catalysts. This not only wastes resources but also delays the development of more efficient catalytic processes. In industrial settings, relying on misattributed data can lead to suboptimal production processes, increasing costs and reducing competitiveness.
