Evidence map›Paper›PMID 36190742›Full record

ReviewJournal of medical Internet research2022

Tracking Openness and Topic Evolution of COVID-19 Publications January 2020-March 2021: Comprehensive Bibliometric and Topic Modeling Analysis.

Maider San Torcuato, Núria Bautista-Puig, Olatz Arrizabalaga, Eva Méndez

Abstract readReview
In one paragraph

Review in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Maider San TorcuatoInnovation Unit, Biodonostia Health Research Institute, San Sebastián, Spain.ORCID 0000-0002-1352-8467
Núria Bautista-PuigLibrary and Information Science Department, Universidad Carlos III de Madrid, Getafe, Spain.ORCID 0000-0003-2404-0683
Olatz ArrizabalagaInnovation Unit, Biodonostia Health Research Institute, San Sebastián, Spain.ORCID 0000-0002-1648-9213
Eva MéndezLibrary and Information Science Department, Universidad Carlos III de Madrid, Getafe, Spain.ORCID 0000-0002-5337-4722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 outbreak highlighted the importance of rapid access to research.

objectiveThe aim of this study was to investigate research communication related to COVID-19, the level of openness of papers, and the main topics of research into this disease.

methodsOpen access (OA) uptake (typologies, license use) and the topic evolution of publications were analyzed from the start of the pandemic (January 1, 2020) until the end of a year of widespread lockdown (March 1, 2021).

resultsThe sample included 95,605 publications; 94.1% were published in an OA form, 44% of which were published as Bronze OA. Among these OA publications, 42% do not have a license, which can limit the number of citations and thus the impact. Using a topic modeling approach, we found that articles in Hybrid and Green OA publications are more focused on patients and their effects, whereas the strategy to combat the pandemic adopted by different countries was the main topic of articles selecting publication via the Gold OA route.

conclusionsAlthough OA scientific production has increased, some weaknesses in OA practice, such as lack of licensing or under-researched topics, still hold back its effective use for further research.

Indexed as

COVID-19BibliometricsCommunicable Disease ControlDisease OutbreaksHumansPandemicsPublicationsaccessibilitycommunicationCOVID-19disseminationOAopen accesspublicationsresearchresearch topicsSARS-CoV-2scholarly communicationscientometrytopic modeling

Identifiers

PMID36190742
PMCPMC9531723

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.