[目的/意义]从用户信息行为视角整合信息场理论，解析Altmetrics数据生成机制，旨在明确数据生成的核心逻辑，推动其成为连接科学与社会的可靠桥梁。[方法/过程]面向以网络平台为基础的科学信息交流过程，引入信息场理论，以参与交流过程的利益相关方需求为基点，构建以平台为信息场的“语境—认知—行为—数据”（CCBD)框架，并以此为基础阐释Altmetrics数据的生成机制。[结果/结论]网络信息平台是科学信息交流的虚拟信息场，用户信息行为视角下的Altmetrics数据生成过程包括触发、获取、判断、利用、传播五个阶段，CCBD框架下Altmetrics数据生成机制包括“刺激—扰动”“竞争—选择”“交叠—自组织”“共识—协同”四类机制。四类机制并非独立存在，呈现出“微观触发—中观筛选—宏观聚合—多方协同”的层级递进关系。

[Purpose/significance] Integrating information field theory from the perspective of user information behavior, it is to analyze the altmetrics data generation mechanism, aiming to clarify the core logic of data generation and promote it as a reliable bridge connecting science and society. [Method/process] Facing the scientific information communication process based on the network platform, the information field theory is introduced, and the stakeholder needs involved in the communication process are taken as the basis to construct a "Context-Cognition-Behavior-Data" (CCBD) analysis framework, which take the platform as the information field and interpret the generation mechanism of altmetrics data. [Result/conclusion] The network information platform is a virtual information field for scientific information communication. The altmetrics data generation process from the perspective of user information behavior includes five stages: triggering, acquisition, judgment, utilization, and dissemination. Four types of generation mechanisms of altmetrics data under the CCBD framework are revealed: stimulus-disturbance, competition-selection, overlap-self-organi-zation, and consensus-collaboration. The four types of mechanisms do not exist independently, and present a hierarchical progressive relationship, which are "micro triggering-meso selecting-macro aggregation-multiparty collaboration".