Abstract：
Research on negative symptoms of schizophrenia has received renewed interest since the 1980s. A scientometric analysis that objectively maps scientific knowledge, with changes in recent trends, is currently lacking. We searched the Web of Science Core Collection (WOSCC) on December 17, 2021 using relevant keywords. R-bibliometrix and CiteSpace were used to perform the analysis. We retrieved 27,568 references published between 1966 and 2022. An exponential rise in scientific interest was observed, with an average annual growth rate in publications of 16.56% from 1990 to 2010. The co-cited reference network that was retrieved presented 24 different clusters with a well-structured network (Q=0.7921; S=0.9016). Two distinct major research trends were identified: research on the conceptualization and treatment of negative symptoms. The latest trends in research on negative symptoms include evidence synthesis, nonpharmacological treatments, and computational psychiatry. Scientometric analyses provide a useful summary of changes in negative symptom research across time by identifying intellectual turning point papers and emerging trends. These results will be informative for systematic reviews, meta-analyses, and generating novel hypotheses.
摘要：
自1980年代以来，对精神分裂症阴性症状的研究重新受到关注。客观映射科学知识的科学计量分析，随着近期趋势的变化，目前缺乏。我们于2021年12月17日使用相关关键字搜索了WebofScienceCoreCollection（WOSCC）。使用R-bibliometrix和CiteSpace进行分析。我们检索了1966年至2022年之间发布的27,568篇参考文献。观察到科学兴趣呈指数级上升，从1990年到2010年，出版物的年均增长率为16.56%。检索到的共同引用的参考网络呈现了24个具有良好结构网络的不同集群(Q=0.7921;S=0.9016)。确定了两个不同的主要研究趋势：阴性症状的概念化和治疗研究。阴性症状研究的最新趋势包括证据综合，非药物治疗，和计算精神病学。科学计量分析通过识别智力转折点论文和新兴趋势，为阴性症状研究的变化提供了有用的总结。这些结果将为系统评价提供信息，荟萃分析，并产生新的假设。
