Early scientific response to COVID-19 epidemic: a scientometric perspective

摘要: Background The recent COVID-19 epidemic is showing how the response of scientific literature fundamental in first days following onset a new Quantifying which studies have greatest impact can help researchers and policymakers controlling aim this study to describe early production through scientometric analysis Methods consisted of: 1) review produced 30 since paper related has been published on Pubmed;2) Identification papers' Digital Object Identifiers (DOI) metrics with construction 'Computed Impact Score' (CIS) that represents unifying score over heterogeneous bibliometric indicators CIS takes into account all both traditional (i e counting citations) alternative altmetrics) In we use altmetrics provided by Plum Analytics (PlumX) All for selected papers collected using their corresponding DOIs as key querying Scopus API, integrates PlumX On top those compute higher are discussed presented Results 239 included A threshold t = 1 04 95% quantile) allowed us record 8 potentially impactful are: 6 case reports, methodological study, editorial First authors come from China (n 6), USA Germany main topics case/s description 5), outbreak investigation 2) genomic Conclusions during an does not follow pre-established pattern Tracing non-traditional measures understand evaluate community general population Key messages dynamic important aspect epidemic, must be studied also increase systems’ preparedness connected digital world, tracing identify professionals correctly inform