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The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settings
dc.contributor.author | Torres Salinas, Daniel | |
dc.contributor.author | Robinson García, Nicolás | |
dc.contributor.author | van Schalkwyk, François | |
dc.contributor.author | F. Nane, Gabriela | |
dc.contributor.author | Castillo-Valdivieso, Pedro | |
dc.date.accessioned | 2021-07-14T06:48:32Z | |
dc.date.available | 2021-07-14T06:48:32Z | |
dc.date.issued | 2021-07-13 | |
dc.identifier.uri | http://hdl.handle.net/10481/69677 | |
dc.description.abstract | We present a forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021. Considering the paramount scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature. Here we base our predictions on the ARIMA model and use two different data sources: the Dimensions and World Health Organization COVID-19 databases. These two sources have the particularity of including in the metadata information the date in which papers were indexed. We present global predictions, plus predictions in three specific settings: type of access (Open Access), NLM source (PubMed and PMC), and domain-specific repository (SSRN and MedRxiv). We conclude by discussing our findings. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | ISSI | es_ES |
dc.subject | bibliometrics | es_ES |
dc.subject | Covid-19 | es_ES |
dc.title | The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settings | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |