In this study we investigated whether open access could assist the broader dissemination of scientific research in Climate Action (Sustainable Development Goal 13) via news outlets. We did this by comparing (i) the share of open and non-open access documents in different Climate Action topics, and their news counts, and (ii) the mean of news counts for open access and non-open access documents. The data set of this study comprised 70,206 articles and reviews in Sustainable Development Goal 13, published during 2014–2018, retrieved from SciVal. The number of news mentions for each document was obtained from Altmetrics Details Page API using their DOIs, whereas the open access statuses were obtained using Unpaywall.org. The analysis in this paper was done using a combination of (Latent Dirichlet allocation) topic modelling, descriptive statistics, and regression analysis. The covariates included in the regression analysis were features related to authors, country, journal, institution, funding, readability, news source category and topic. Using topic modelling, we identified 10 topics, with topics 4 (meteorology) [21%], 5 (adaption, mitigation, and legislation) [18%] and 8 (ecosystems and biodiversity) [14%] accounting for 53% of the research in Sustainable Development Goal 13. Additionally, the results of regression analysis showed that while keeping all the variables constant in the model, open access papers in Climate Action had a news count advantage (8.8%) in comparison to non-open access papers. Our findings also showed that while a higher share of open access documents in topics such as topic 9 (Human vulnerability to risks) might not assist with its broader dissemination, in some others such as topic 5 (adaption, mitigation, and legislation), even a lower share of open access documents might accelerate its broad communication via news outlets.

在这项研究中，我们调查了开放获取是否有助于通过新闻媒体更广泛地传播气候行动（可持续发展目标 13）方面的科学研究。我们通过比较 (i) 不同气候行动主题中开放和非开放获取文档的份额及其新闻数量，以及 (ii) 开放获取和非开放获取文档的新闻数量平均值来做到这一点。本研究的数据集包括 70,206 篇可持续发展目标 13 中的文章和评论，这些文章和评论发表于 2014-2018 年，从 SciVal 检索。每个文档的新闻提及次数是使用他们的 DOI 从 Altmetrics 详细信息页面 API 获得的，而开放访问状态是使用 Unpaywall.org 获得的。本文中的分析是使用（潜在狄利克雷分配）主题建模、描述性统计、和回归分析。回归分析中包含的协变量是与作者、国家、期刊、机构、资金、可读性、新闻来源类别和主题相关的特征。使用主题建模，我们确定了 10 个主题，其中主题 4（气象学）[21%]、主题 5（适应、缓解和立法）[18%] 和 8（生态系统和生物多样性）[14%] 占总人数的 53%。可持续发展目标 13 中的研究。此外，回归分析的结果表明，在保持模型中所有变量不变的同时，气候行动中的开放获取论文与非开放获取论文相比具有新闻数量优势（8.8%）。我们的研究结果还表明，虽然在主题 9（人类对风险的脆弱性）等主题中较高份额的开放获取文档可能无助于其更广泛的传播，