Evidence map›Paper›PMID 33147597›Full record

ArticleArchivos de cardiologia de Mexico2021

The 2020 research pandemic: A bibliometric analysis of publications on COVID-19 and their scientific impact during the first months.

Carlos E Diéguez-Campa, Ivan Pérez-Neri, Gustavo Reyes-Terán, Iliana A Flores-Apodaca, Jorge Castillo-Ledón-Pretelini, Omar Mercado-Bautista, Ricardo Álvarez-Santana, Marco A Zenteno, Brigham Bowles, Ángel Lee

Abstract read
In one paragraph

Article in Archivos de cardiologia de Mexico, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Review
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  11. COVID-19 Publications in Family Medicine Journals in 2020: A PubMed-Based Bibliometric Analysis.International journal of environmental research and public health · 2021
    Article
  12. Article
  13. Article
  14. Review
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  16. Prolific authors in ophthalmology and vision science.Arquivos brasileiros de oftalmologia
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carlos E Diéguez-CampaDepartment of Neurochemistry, National Institute of Neurology and Neurosurgery, Mexico City; Institute of Biomedical Sciences, Autonomous University of Ciudad Juárez, Chihuahua, Ciudad Juárez; Mexico.
Ivan Pérez-NeriDepartment of Neurochemistry, National Institute of Neurology and Neurosurgery, Mexico City, Mexico.
Gustavo Reyes-TeránCoordination of National Institutes of Health and High Specialty Hospitals, Mexico City, Mexico.
Iliana A Flores-ApodacaInstitute of Biomedical Sciences, Autonomous University of Ciudad Juárez, Chihuahua, Ciudad Juárez, Department of Human Genetics, National Institute of Pediatrics, Mexico City, Mexico.
Jorge Castillo-Ledón-PreteliniUnit of Research in Metabolic Diseases (UIEM), National Institute of Medical Sciences and Nutrition, Mexico City; Autonomous Metropolitan University, Xochimilco Unit, Mexico City, Mexico.
Omar Mercado-BautistaUnit of Health Sciences. Veracruzana University, Poza Rica de Hidalgo, Veracruz; Sleep Medicine Unit. National Institute of Respiratory Diseases, Mexico City, Mexico.
Ricardo Álvarez-SantanaInstitute of Biomedical Sciences, Autonomous University of Ciudad Juárez, Chihuahua, Ciudad Juárez; Department of Nuclear Cardiology. National Institute of Cardiology, Mexico City, Mexico.
Marco A ZentenoDepartment of Endovascular Neurological Therapy. National Institute of Neurology and Neurosurgery, Mexico City.
Brigham BowlesDepartment of Endovascular Neurological Therapy. National Institute of Neurology and Neurosurgery, Mexico City; Westhill University, Mexico City, Cuajimalpa. Mexico.
Ángel LeeCoordination of National Institutes of Health and High Specialty Hospitals, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outbreak of COVID-19 has created a landslide of publications, from different sources and unequal impact. We considered that the first 3 months are crucial to understand how knowledge has been generated by performing a bibliometric analysis, including the citations to these articles to guide researchers in exploring this field, and to evaluate the relationship between confirmed COVID-19 cases and deaths with the number of papers per country.

methodsScientific publications were obtained from PubMed (January-March 2020) and their citations during the first 6 months retrieved from the Scopus database. An analysis of the number of papers by country, approach (type and category of publication), and impact was made. A multiple linear regression model was implemented to analyze the correlation between the number of publications and confirmed cases and deaths.

resultsA total of 2,530 publications were analyzed with 59,104 citations (23.4 citations/article), written by authors from 67 countries. China was the country with more publications (988, 39%) and more citations (36,416, 63%) followed by the United States with 423 articles (16.7%) and 7,458 citations (12.6%). The coauthorship network identified 10,756 authors. According to the multivariate analysis, both confirmed cases and deaths were significantly correlated with the number of publications per country (corrected by population size and gross domestic product).

conclusionThe correlation with the number of publications suggests that cases and deaths had some impact on the medical literature, reflecting how rapidly the scientific community has been on the frontline in the fight against COVID-19.

Indexed as

BibliometricsBiomedical ResearchCOVID-19ChinaDatabases, FactualHumansPandemicsPublicationsUnited StatesBibliometricsCoronavirusCOVID-19PandemicSARS-CoV-2

Identifiers

PMID33147597
PMCPMC10161849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.