Evidence map›Paper›PMID 37585593›Full record

ReviewHuman vaccines & immunotherapeutics2023

Tracking trends in COVID-19 vaccines based on 47 different vaccines: A bibliometric review.

Zhongbin Tao, Caihua Xu, Luying Cheng, Mingyue Zhang, Jianguo Xu, Qingyong Zheng, Jun Zhang, Wenjun Lu, Caiyi Sheng, Jinhui Tian

Abstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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.

Zhongbin TaoDepartment of Paediatrics, First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Caihua XuEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Luying ChengEvidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Mingyue ZhangEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Jianguo XuEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Qingyong ZhengEvidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Jun ZhangEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Wenjun LuThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Caiyi ShengThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Jinhui TianEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 epidemic in December 2019 had a significant negative impact on people's health and economies all across the world. The most effective preventive measure against COVID-19 is vaccination. Therefore, the development and production of COVID-19 vaccines is booming worldwide. This study aimed to analyze the current state of that research and its development tendency by bibliometrics. We conducted a thorough search of the Web of Science Core Collection. VOSviewer1.6.18 was used to perform the bibliometric analysis of these papers. A total of 6,325 papers were finally included. The USA maintained a top position worldwide. Shimabukuro Tom T and Harvard University were the most prolific author and institution. The Vaccines was the most published journal. The research hotspots of COVID-19 vaccines can be classified into vaccine hesitancy, vaccine safety and effectiveness, vaccine immunogenicity, and adverse reactions to vaccines. Studies on various vaccination types have also concentrated on efficacy against continuously developing virus strains, immunogenicity, side effects, and safety.

Indexed as

COVID-19VaccinesBibliometricsCOVID-19 VaccinesHumansVaccinationCOVID-19 VaccinesVaccinesbibliometric analysisCOVID-19 vaccineresearch topicsresearch trendsVOSviewer

Identifiers

PMID37585593
PMCPMC10416739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.