Evidence map›Paper›PMID 37178376›Full record

ArticleMolecular and cellular biochemistry2024

Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research.

Chun Zhou, Zhaopin Cai, Boxing Jin, Huisong Lin, Lingling Xu, Zhigang Jin

Abstract read
In one paragraph

Article in Molecular and cellular biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Chun Zhou *Jinhua People's Hospital Joint Center for Biomedical Research, Zhejiang Normal University, Jinhua, 321000, Zhejiang, China.
Zhaopin Cai *College of Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321000, Zhejiang, China.
Boxing JinCollege of Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321000, Zhejiang, China.
Huisong LinZhejiang Institute of Medical Device Testing, Hangzhou, Zhejiang, China.
Lingling XuCollege of Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321000, Zhejiang, China.
Zhigang JinJinhua People's Hospital Joint Center for Biomedical Research, Zhejiang Normal University, Jinhua, 321000, Zhejiang, China. zgkin@zjnu.edu.cn.

Funding

Jinhua Science and Technology Bureau 2020XG-09, 2021-3-146Natural Science Foundation of Zhejiang Province LY21C120001
6 · The paper itself

Abstract

Saliva has emerged as a promising noninvasive biofluid for the diagnosis of oral and systemic diseases, including viral infections. During the coronavirus disease 2019 (COVID-19) pandemic, a growing number of studies focused on saliva-based detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Taking advantage of the WoS core collection (WoSCC) and CiteSpace, we retrieved 1021 articles related to saliva-based detection of SARS-CoV-2 and conducted a comprehensive bibliometric analysis. We analyzed countries, institutions, authors, cited authors, and cited journals to summarize their contribution and influence and analyzed keywords to explore research hotspots and trends. From 2020 to 2021, research focused on viral transmission via saliva and verification of saliva as a reliable specimen, whereas from 2021 to the present, the focus of research has switched to saliva-based biosensors for SARS-CoV-2 detection. By far, saliva has been verified as a reliable specimen for SARS-CoV-2 detection, although a standardized procedure for saliva sampling and processing is needed. Studies on saliva-based detection of SARS-CoV-2 will promote the development of saliva-based diagnostics and biosensors for viral detection. Collectively, our findings could provide valuable information to help scientists perceive the basic knowledge landscapes on saliva-based detection of SARS-CoV-2, the past and current research hotspots, and future opportunities.

Indexed as

COVID-19SARS-CoV-2BibliometricsCOVID-19 TestingHumansSalivaBibliometric analysisCiteSpaceCOVID-19DetectionSalivaSARS-CoV-2

Identifiers

PMID37178376
PMCPMC10182745

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.