Evidence map›Paper›PMID 38977415›Full record

ReviewHuman vaccines & immunotherapeutics2024

Top 100 cited research on COVID-19 vaccines: A bibliometric analysis and evidence mapping.

Liping Yu, Caihua Xu, Mingyue Zhang, Yongjia Zhou, Zhiruo Hu, Lin Li, Yiyi Li, Jinhui Tian, Mingli Xu

Abstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

9 authors.

Liping YuChild Rehabilitation Department, Gansu Rehabilitation Center Hospital, Lanzhou, Gansu, China.
Caihua XuEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Mingyue ZhangEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Yongjia ZhouSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Zhiruo HuSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Lin LiEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Yiyi LiSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Jinhui TianEvidence-Based Medicine Center, Lanzhou University, Lanzhou, Gansu, China.
Mingli XuCollege of Traditional Chinese Medicine, Gansu Health Vocational College, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the COVID-19 has seriously affected the whole society, and vaccines were the most effective means to contain the epidemic. This paper aims to determine the top 100 articles cited most frequently in COVID-19 vaccines and to analyze the research status and hot spots in this field through bibliometrics, to provide a reference for future research. We conducted a comprehensive search of the Web of Science Core Collection database on November 29, 2023, and identified the top 100 articles by ranking them from highest to lowest citation frequency. In addition, we analyzed the year of publication, citation, author, country, institution, journal, and keywords with Microsoft Excel 2019 and VOSviewer 1.6.18. Research focused on vaccine immunogenicity and safety, vaccine hesitancy, and vaccination intention.

Indexed as

BibliometricsCOVID-19COVID-19 VaccinesHumansImmunogenicity, VaccineSARS-CoV-2VaccinationVaccination HesitancyCOVID-19 Vaccinesbibliometric analysisCOVID-19 vaccineresearch topicVosviewer

Identifiers

PMID38977415
PMCPMC11232646

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.