This study examines the characteristics of medical articles cited in Wikipedia and compares them with a sample of medical articles not cited in the platform. The aim is to determine the reasons why... Show moreThis study examines the characteristics of medical articles cited in Wikipedia and compares them with a sample of medical articles not cited in the platform. The aim is to determine the reasons why some articles are selected as reliable sources for Wikipedia and others are not. The characteristics studied are document type, open access status of article, article topic, article F1000 class and F1000 count, article tweet count, and article news count. The findings show a document type similarity for both cited and uncited sets of articles, with articles, reviews and editorial materials being more visible in both sets. While the articles cover a broad range of topics, the top three topics are the same in both sets. The results also reveal that Wikipedia favors OA articles, although a large number of cited articles are non-OA. Finally, significant, although weak correlations are found between Wiki citation counts and F1000, tweet and news counts. While F1000 and tweet counts correlate negatively with Wikipedia citation counts, news counts show a positive correlation, although the weakest compared to the other correlations. Show less
Cobo, M.J.; Dehdarirad, T.; García-Sánchez, P.; Moral-Munoz, J.A. 2018
Reproducibility of scientific articles and their findings has gained importance in the last years. Although most efforts have been made in biomedicine, health and psychology science,... Show moreReproducibility of scientific articles and their findings has gained importance in the last years. Although most efforts have been made in biomedicine, health and psychology science, reproducibility is important and necessary in all the research fields. Thus, in this contribution an empirical evaluation of the reproducibility of scientometric studies was carried out. To do so, 285 articles published in the journal of Scientometrics in 2017 were examined in term of the following reproducibility artifacts: workflow, search strategy, database, software, the availability of the source code (where applicable) and the availability of the dataset. Our findings showed that whilst workflow and search strategy were well described in the majority of articles, the dataset used was shared by very few studies. The data was usually retrieved from the WoS and Scopus databases. Finally, a few articles shared the source code where ad-hoc software was used. Show less
