New scientific concepts, interpreted broadly, are continuously introduced in the literature, but relatively few concepts have a long‐term impact on society. The identification of such concepts is a challenging prediction task that would help multiple parties—including researchers and the general public—focus their attention within the vast scientific literature. In this paper we present a system that predicts the future impact of a scientific concept, represented as a technical term, based on the information available from recently published research articles. We analyze the usefulness of rich features derived from the full text of the articles through a variety of approaches, including rhetorical sentence analysis, information extraction, and time‐series analysis. The results from two large‐scale experiments with 3.8 million full‐text articles and 48 million metadata records support the conclusion that full‐text features are significantly more useful for prediction than metadata‐only features and that the most accurate predictions result from combining the metadata and full‐text features. Surprisingly, these results hold even when the metadata features are available for a much larger number of documents than are available for the full‐text features.
Aims: The current review investigated the psychosocial characteristics of late-onset problem drinkers, an under-researched area of alcohol harm that accounts for one-third of older problem drinkers. Method: Following the PRISMA model, the protocol and search strategy included a scoping search and main search of nine databases. A total of 1,595 papers were identified; after screening, 26 papers were considered eligible and were included in the review. The review used an investigative framework comprising three categories: standardising age of onset; gender differences; and psychosocial and mental health characteristics. The review also investigated how meaning and purpose in life, and treatment have been reported in relation to this cohort. Findings/Conclusions: The combined onset ages of the reviews’ 26 papers (mean age = 52.69 years) and the participants’ self-reported age at onset (mean age = 56.79 years), suggest that late-onset alcohol use disorder (AUD)/problem drinking is likely to emerge at the age of 55 years and older. Moreover, there is a high prevalence of co-morbid mental health disorders among elderly, late-onset drinkers. Retirement was reported as the most prevalent psychosocial risk factor for late-onset problematic drinking; other late-life events included bereavement, loneliness and social isolation, and boredom. In the context of gender, women are at greater risk of developing late-onset problem drinking than men. Furthermore, late-onset problem drinkers, particularly women, are more treatment compliant than their early-onset counterparts, highlighting the case for bespoke treatments/interventions for late-onset problem drinkers. Finally, the role that meaning and purpose in life plays in late-onset problem drinking has been under-reported and requires further investigation.
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