Evidence map›Paper›PMID 39771059›Full record

ReviewToxics2024

Global Trends and Hotspots in Non-Targeted Screening of Water Pollution Research: Bibliometric and Visual Analysis.

Yitian Wu, Yewen Shi, Tianmin Gu, Xiushuai Du, Zhiyuan Du, Chi Zhang, Ke Sun, Yue Zhang, Xiaojing Guo, Shenghan Wang and 3 more

Abstract readReview
In one paragraph

Review in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Yitian WuShanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
Yewen ShiShanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
Tianmin GuShanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
Xiushuai DuKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
Zhiyuan DuKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
Chi ZhangKey Laboratory of Health Technology Assessment, National Health Commission of the Peoples Republic of China, Fudan University, Shanghai 200032, China.
Ke SunSchool of Health Economics and Management, Nanjing University of Chinese Medicine, 138 Xianlin Road, Qixia District, Nanjing 210023, China.
Yue ZhangKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
Xiaojing GuoKunShan Hospital of Traditional Chinese Medcine, Suzhou 215300, China.
Shenghan WangSchool of Public Health, Nantong University, Nantong 226019, China.
Weiwei ZhengKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0002-4760-1474
Yi HeShanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
Wei LiuTongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.

Funding

National Natural Science Foundation of China 81202165National Natural Science Foundation of China 81773379National Natural Science Foundation of China 82122058
6 · The paper itself

Abstract

Non-targeted screening (NTS) technology has been showing significant potential in identifying contaminants of emerging concern (CECs) in water and has attracted great attention in academia in recent years. It is a method that analyzes samples without pre-selecting substances, enabling the detection and identification of unknown compounds, which is crucial for environmental health and public protection. This study uses the Bibliometrix package in R 4.4.1 and CiteSpace 6.3.R1 software to statistically analyze 589 relevant publications from the Web of Science Core Collection from 2007 to 2024. Our work concentrates on NTS of water bodies; thus, articles that only analyze water sediments without analyzing the water were not considered for inclusion. By conducting a quantitative analysis and visualizing the publication trends, countries, authors, journals, and keywords, the present study identifies research hotspots, compositions, and paradigms within this field, trying to analyze the horizontal and vertical development trends and structural evolution of the research area. The research found that the application of NTS in water pollution studies has progressed through three phases: theoretical exploration, rapid development, and steady progress. From the national level, China leads with the highest number of publications (131), followed by Germany (105), Spain (50), and the United States (39). The top three authors by publication volume are J. Hollender, Nikolaos S. Thomaidis, and Emma L. Schymanski, while the top three by citation count are J. Hollender, Emma L. Schymanski, and M. Krauss. However, international collaboration between countries and researchers still remains an area for improvement. Science of the Total Environment is the journal with the highest number of publications (81), and Environmental Science & Technology holds the highest number of citations. Research on NTS methodologies, suspect screening, and health risk assessments are hot topics in the academic community. Future research is expected to be multidisciplinary, with emerging hotspots likely to focus on including the identification of novel pollutants through NTS, toxicity assessments of biotransformed compounds, and the health impacts and mechanisms of related compounds.

Indexed as

bibliometricsglobal trendsNTSresearch hotspotswater pollution

Identifiers

PMID39771059
PMCPMC11679217

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.