Evidence map›Paper›PMID 37576281›Full record

ArticleHeliyon2023

Bibliometric analysis of the highly cited publications in COVID-19 vaccine.

Li Yan, Lihua Liu

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Li YanCadet Company One, Graduate School of Chinese PLA General Hospital, Beijing, 100853, China.
Lihua LiuInstitution of Hospital Management, Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing 100853, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has had widespread effects across the globe and continues to affect global public health. This study aims to select and feature highly cited publications on the COVID-19 vaccine. The Web of Science core database was used to extract relevant articles published in recent years. Progress of vaccine studies made in recent two years has mainly focused on the development of different vaccines and the evaluation of their safety and efficacy for population immunity. Clinical trials mainly focusing on the safety and efficacy of diverse vaccines have flourished. Lipid nanoparticle-formulated, nucleoside-modified RNA vaccine and recombinant adenovirus type-5 (26) vectored SARS-CoV-2 vaccines are most commonly studied. Vaccine application-associated challenges mainly include antibody resistance of new variants and unusual severe complications. The correlation between booster immunizations and reinfection is still in the explored state. Currently, antibody resistance of emerging variants is the main vaccine application-associated challenge and the primary reason for vaccine hesitancy. Effective strategies for reinfection prevention are also urgently needed.

Indexed as

Antibody resistanceBibliometric analysisClinical trialsPublic healthReinfectionSARS-CoV-2Vaccine design

Identifiers

PMID37576281
PMCPMC10413004
OpenAlexW4385155035

What Socratic 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 Socratic graph.