Evidence map›Paper›PMID 37600953›Full record

ReviewFrontiers in cellular and infection microbiology2023

The application of metagenomic next-generation sequencing in pathogen diagnosis: a bibliometric analysis based on Web of Science.

Sike He, Jingwen Wei, Jiaming Feng, Dan Liu, Neng Wang, Liyu Chen, Ying Xiong

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Sike HeWest China School of Medicine, Sichuan University, Chengdu, China.
Jingwen WeiWest China School of Medicine, Sichuan University, Chengdu, China.
Jiaming FengWest China School of Medicine, Sichuan University, Chengdu, China.
Dan LiuDepartment of Periodical Press, West China Hospital, Sichuan University, Chengdu, China.
Neng WangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Liyu ChenCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Ying XiongDepartment of Periodical Press, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infectious disease is a large burden on public health globally. Metagenomic next-generation sequencing (mNGS) has become popular as a new tool for pathogen diagnosis with numerous advantages compared to conventional methods. Recently, research on mNGS increases yearly. However, no bibliometric analysis has systematically presented the full spectrum of this research field. Therefore, we reviewed all the publications associated with this topic and performed this study to analyze the comprehensive status and future hotspots of mNGS for infectious disease diagnosis. Methods: The literature was searched in the Web of Science Core Collection and screened without year or language restrictions, and the characteristics of the studies were also identified. The outcomes included publication years, study types, journals, countries, authorship, institutions, frontiers, and hotspots with trends. Statistical analysis and visualization were conducted using VOSviewer (version 1.6.16) and CiteSpace (version 6.1. R3). Results: In total, 325 studies were included in the analysis after screening. Studies were published between 2009 and 2022 with a significantly increasing number from 1 to 118. Most of the studies were original articles and case reports. Conclusion: This study determined that mNGS is a hot topic in the diagnosis of infectious diseases with development trends and provides insights into researchers, institutions, hotspots and frontiers in mNGS, which can offer references to related researchers and future research.

Indexed as

BibliometricsCommunicable DiseasesChinaHigh-Throughput Nucleotide SequencingHumansMetagenomebibliometric analysisCiteSpacemetagenomic next-generation sequencingpathogen diagnosisVOSviewerWeb of Science

Identifiers

PMID37600953
PMCPMC10434771
OpenAlexW4385553233

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.