Muñoz-Velandia Oscar Mauricio, Fernández-Ávila Daniel Gerardo, Patino-Hernandez Daniela, Gómez Ana María
Department of Internal Medicine, Hospital Universitario San Ignacio, Cra 7 No 40.62 Piso 7, Bogotá, Colombia; Medical School. Pontificia Universidad Javeriana, Bogotá, Colombia.
Rheumatology Unit, Department of Internal Medicine. Hospital Universitario San Ignacio, Cra 7 No 40.62 Piso 7, Bogotá, Colombia; Medical School. Pontificia Universidad Javeriana, Bogotá, Colombia.
Diabetes Metab Syndr. 2019 Jul-Aug;13(4):2437-2440. doi: 10.1016/j.dsx.2019.06.018. Epub 2019 Jun 13.
Traditional journal level metrics, as the impact factor or Scimago journal ranking indicator (SJR) measure the impact of research on other researchers, but fail to assess the reach of these publications among wider audiences. This study aims to assess the correlation between SJR and metrics of presence on social networks of endocrinology journals.
Journals within the area of endocrinology, diabetes and metabolism were identified from the electronic portal Scimago Journal and Country Rank, and their metrics based on the number of citation collected. Different metrics of the presence on social networks, such as the number of followers and number of tweets, were assessed. The correlation between both metrics was evaluated by calculating the Spearman correlation coefficient.
Of the 232 journals evaluated, 28 (12.1%) had social networks. The median SJR (1.53 vs 0.60, p < 0.01), and H index (58.5 vs 22, p < 0.01) were significantly higher among journals with social networks. The correlation between the number of followers on twitter and the SJR was moderate (r = 0.60, p < 0.05), and it was better in journals with more than 500 publications in the last 3 years (r = 0.85, p < 0.05). The number of tweets also had a moderate correlation with the SJR (r = 0.59, p < 0.05) CONCLUSIONS: Our results suggest that the dissemination of research on social networks is moderately related to the traditional metrics of impact. Both types of metrics offer complementary information: while metrics based on social media may not perfectly predict the impact a scientific journal, it does have the advantage of immediacy.
传统期刊水平指标，如影响因子或Scimago期刊排名指标（SJR）衡量研究对其他研究人员的影响，但未能评估这些出版物在更广泛受众中的传播范围。本研究旨在评估SJR与内分泌学期刊社交网络上的存在指标之间的相关性。
从电子门户网站Scimago Journal and Country Rank中识别内分泌学、糖尿病和代谢领域的期刊，并根据收集到的引用次数计算其指标。评估社交网络上存在的不同指标，如关注者数量和推文数量。通过计算Spearman相关系数评估这两个指标之间的相关性。
在评估的232种期刊中，28种（12.1%）有社交网络。有社交网络的期刊的SJR中位数（1.53对0.60，p<0.01）和H指数（58.5对22，p<0.01）显著更高。推特上的关注者数量与SJR之间的相关性中等（r=0.60，p<0.05），在过去3年发表超过500篇论文的期刊中相关性更好（r=0.85，p<0.05）。推文数量与SJR也有中等相关性（r=0.59，p<0.05）。结论：我们的结果表明，社交网络上的研究传播与传统影响指标适度相关。这两种指标提供互补信息：虽然基于社交媒体的指标可能无法完美预测科学期刊的影响，但它具有即时性的优势。
