COVID-19 and the scientific publishing system: growth, open access and scientific fields.

ABSTRACT: We model the growth of scientific literature related to COVID-19 and forecast the expected growth from 1 June 2021. Considering the significant 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 Autoregressive Integrated Moving Average (ARIMA) and exponential smoothing models using the Dimensions database. This source has the particularity of including in the metadata information

SUBMITTER: Nane GF 

PROVIDER: S-EPMC9548429 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature