Análisis de contenido y nivel de evidencia de los artículos sobre Covid-19 más citados en la Web of Science

  1. José-Antonio Salvador-Oliván 1
  2. Gonzalo Marco-Cuenca 1
  3. Rosario Arquero-Avilés 2
  1. 1 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Revue:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Année de publication: 2021

Titre de la publication: Democracia / Democracy

Volumen: 30

Número: 6

Type: Article

DOI: 10.3145/EPI.2021.NOV.17 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: El profesional de la información

Résumé

The scientific literature on Covid-10 has seen unprecedented growth, being published so rapidly as to question its quality and the peer review process. This research analyzes the characteristics of the publications on Covid-19 with the greatest impact, mainly considering their content and the quality and level of evidence of the studies. The Web of Science Core Collection was searched for articles containing the terms “Covid-19” and “SARS-CoV-2,” and the 100 most cited articles published in 2020 were selected. The data extracted included bibliographic data, journal submission, acceptance, and publication dates, the main topics covered, the type of study, and the level of evidence according to the SIGN scale, as well as the existence of corrections. Half of the articles were published in three journals, most of them in the early months of 2020. The most frequent types of studies were case series, narrative reviews, and expert opinions, with only one randomized controlled clinical trial. The articles focused mainly on the clinical characteristics and complications of patients, diagnostic and treatment methods, as well as the epidemiology and characteristics of the virus. The design of these studies reflects a low level of evidence, and data and scientific quality may be affected by how quickly they are published and the peer review process is performed.

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La source de données: Dialnet