INGENIO (CSIC-UPV), Universitat Politècnica de València, Camí de Vera, s/n, Valencia, 46022, Spain.
School of Public Policy, Georgia Institute of Technology, 685 Cherry Street, Atlanta, GA 30332-0345, USA.
FEMS Microbiol Lett. 2019 Apr 1;366(7). doi: 10.1093/femsle/fnz075.
This paper aims to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention. We combine data from Web of Science and Altmetric.com, a platform which retrieves mentions to scientific literature from social media and other non-academic communication outlets. We focus on the dissemination of microbial publications in Twitter, news media and policy briefs. A two-mode network of social accounts shows distinctive areas of activity. We identify a cluster of papers mentioned solely by regional news media. A central area of the network is formed by papers discussed by the three outlets. A large portion of the network is driven by Twitter activity. When analyzing top actors contributing to such network, we observe that more than half of the Twitter accounts are bots, mentioning 32% of the documents in our dataset. Within news media outlets, there is a predominance of popular science outlets. With regard to policy briefs, both international and national bodies are represented. Finally, our topic analysis shows that the thematic focus of papers mentioned varies by outlet. While news media cover the wider range of topics, policy briefs are focused on translational medicine and bacterial outbreaks.
本文旨在绘制和识别微生物学领域的研究兴趣主题，并确定推动这些关注的主要来源。我们结合了来自 Web of Science 和 Altmetric.com 的数据，后者是一个从社交媒体和其他非学术传播渠道中检索科学文献提及信息的平台。我们专注于微生物出版物在 Twitter、新闻媒体和政策简报中的传播。一个由社交账户组成的双模式网络显示出不同的活动领域。我们确定了一个仅由地区新闻媒体提及的论文集群。网络的中心区域由三个渠道讨论的论文组成。网络的很大一部分是由 Twitter 活动驱动的。当分析对这种网络有贡献的顶级参与者时，我们观察到超过一半的 Twitter 账户是机器人，在我们的数据集中提及了 32%的文件。在新闻媒体中，科普类媒体占主导地位。至于政策简报，国际和国家机构都有代表。最后，我们的主题分析表明，各渠道提及的论文的主题重点不同。虽然新闻媒体涵盖了更广泛的主题，但政策简报则侧重于转化医学和细菌爆发。
