ArticleScientometrics2020
Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders.
Article in Scientometrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neurological telerehabilitation in the COVID-19 era - current perspectives through a bibliometric analysis.Frontiers in neurology · 2023Pooled it
- Post-publication corrections of rheumatology articles: a comprehensive analysis.Advances in rheumatology (London, England) · 2026Article
- Reforming medical career progression: a call for merit-based systems.Frontiers in medicine · 2025Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- FAIR EVA: Bringing institutional multidisciplinary repositories into the FAIR picture.Scientific data · 2023Article
- Completeness and consistency of primary outcome reporting in COVID-19 publications in the early pandemic phase: a descriptive study.BMC medical research methodology · 2023Article
- COVID-19 and the scientific publishing system: growth, open access and scientific fields.Scientometrics · 2023Article
- Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles.Scientometrics · 2023Article
- The COVID crisis impact on open education in the field of healthcare management.Education and information technologies · 2023Article
- Using an expert survey and user feedback to construct PRECHECK: A checklist to evaluate preprints on COVID-19 and beyond.F1000Research · 2023Article
- Why don't we share data and code? Perceived barriers and benefits to public archiving practices.Proceedings. Biological sciences · 2022Article
- What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review.Sustainable cities and society · 2022Article
- Tracking Openness and Topic Evolution of COVID-19 Publications January 2020-March 2021: Comprehensive Bibliometric and Topic Modeling Analysis.Journal of medical Internet research · 2022Review
- Global analysis of the COVID-19 research landscape and scientific impact.American journal of infection control · 2022Article
- Article
- Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles.Technological forecasting and social change · 2022Article
- The role of blogs and news sites in science communication during the COVID-19 pandemic.Frontiers in research metrics and analytics · 2022Review
- Institution and gender-related differences in publication speed before and during COVID-19.PloS one · 2022Article
- The influence of Covid-19 on publications in economics: bibliometric evidence from five working paper series.Scientometrics · 2022Article
- Publishing of COVID-19 preprints in peer-reviewed journals, preprinting trends, public discussion and quality issues.Scientometrics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Pandemic of COVID-19, an infectious disease caused by SARS-CoV-2 motivated the scientific community to work together in order to gather, organize, process and distribute data on the novel biomedical hazard. Here, we analyzed how the scientific community responded to this challenge by quantifying distribution and availability patterns of the academic information related to COVID-19. The aim of this study was to assess the quality of the information flow and scientific collaboration, two factors we believe to be critical for finding new solutions for the ongoing pandemic. The RISmed R package, and a custom Python script were used to fetch metadata on articles indexed in PubMed and published on Rxiv preprint server. Scopus was manually searched and the metadata was exported in BibTex file. Publication rate and publication status, affiliation and author count per article, and
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.