@misc{10481/61521,
year = {2020},
month = {4},
url = {http://hdl.handle.net/10481/61521},
abstract = {We present an analysis on the uptake of open access on COVID-819 related literature as well as the social media attention they gather when9compared with non OA papers. We use a dataset of publications curated by10Dimensions  and  analyze  articles  and  preprints.  Our  sample  includes  11,68611publications of which 67.5% are openly accessible. OA publications tend to re-12ceive the largest share of social media attention as measured by the Altmetric13Attention Score. 37.6% of OA publications are bronze, which means toll jour-14nals are providing free access. MedRxiv contributes to 36.3% of documents in15repositories but papers in BiorXiv exhibit on average higher AAS. We predict16the growth of COVID-19 literature in the following 30 days estimating ARIMA17models for the overall publications set, OA vs. non OA and by location of the18document (repository vs. journal). We estimate that COVID-19 publications19will double in the next 20 days, but non OA publications will grow at a higher20rate than OA publications. We conclude by discussing the implications of such21findings on the dissemination and communication of research findings to mit-22igate the coronavirus outbreak},
keywords = {Comunicación científica},
keywords = {Análisis bibliométrico},
keywords = {Crecimiento exponencial},
keywords = {Publicaciones científicas},
keywords = {Acceso abierto},
keywords = {Bases de datos científicas},
keywords = {Altmetrics},
keywords = {Forescast},
keywords = {COVID-19},
keywords = {Pandemics},
keywords = {Bibliometric analysis},
keywords = {open science},
keywords = {ciencia abierta},
keywords = {Scientific communication},
title = {Open Access and Altmetrics in the pandemic age: Forescast analysis on COVID-19 related literature},
doi = {10.5281/zenodo.3763140},
author = {Torres Salinas, Daniel and Robinson García, Nicolás and Castillo Valdivieso, Pedro Ángel},
}