Abstract. In this study, we introduce a new literature-aging conceptual model to study the citation curve and discuss its implications. First, we improve the conceptual model by adding a period to describe the “death” of citations. Second, we offer a feasible operationalization for this conceptual model and implement a set of cross-discipline publications in the Web of Science to test its performance. Furthermore, we propose two measurements according to the new model—“Sleeping Period” and “Recognition Period”—to capture publications’ citation curve patterns.

Abstract. Introspection and abundant field and lab evidence indicate that people often infer population characteristics from the data available. When people lack records and are not given feedback, however, they might underweight some of such data, perhaps due to inattention or memory failures. In this paper we use lab experiments and a parsimonious analytical framework to explore inference when limited attention and memory lead to (extreme) data underweighting, the relevance of such phenomenon, and whether people exhibit different patterns of underweighting.