We contribute to the debate on societal impact of SSH by developing a methodology that allows a fine-grained observation of social groups that make use, directly or indirectly, of the results of research. We develop a lexicon of users with 76,857 entries, which saturates the semantic field of social groups of users and allows normalization. We use the lexicon in order to filter text structures in the 6637 impact case studies collected under the Research Excellence Framework in the UK. We then follow the steps recommended by Börner et al. (Annu Rev Inf Sci Technol 37:179–255, 2003) to build up visual maps of science, using co-occurrence of words describing users of research. We explore the properties of this novel kind of maps, in which science is seen from the perspective of research users.

我们通过开发一种方法，允许对直接或间接利用研究结果的社会群体进行细粒度的观察，从而为SSH对社会影响的辩论做出贡献。我们用76,857个条目开发了一个用户词典，该词典充实了用户社交组的语义字段并允许规范化。我们使用词典来过滤在英国研究卓越框架下收集的6637个影响案例研究中的文本结构。然后，我们按照Börner等人推荐的步骤进行操作。（Annu Rev Inf Sci Technol 37：179–255，2003），使用同时出现的描述研究使用者的词语来构建科学的视觉地图。我们探索了这种新颖的地图的属性，从研究用户的角度来看科学。