Evidence map›Paper›PMID 34244944›Full record

ReviewEnvironmental science and pollution research international2021

Uncovering the research progress and hotspots on the public use of recycled water: a bibliometric perspective.

Li Li, Xiaojun Liu, Xinyue Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Li LiSchool of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
Xiaojun LiuSchool of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China. xjun_xauat@163.com.ORCID http://orcid.org/0000-0002-9140-4785
Xinyue ZhangSchool of Economics and Management, Tongji University, Shanghai, 200092, China.

Funding

MOE (Ministry of Education in China) the Project of Humanities and Social Sciences 18YJA630068National Natural Science Foundation of China 71874135
6 · The paper itself

Abstract

With the scarcity of water resources and the development of recycled water production technology, the promotion of global recycled water use is attracting more and more attention. An increasing number of publications have examined the reuse of recycled water from different perspectives to promote the sustainable use of global water resources. The purpose of this research is to systematically and comprehensively evaluate the knowledge structure, development trends, research hotspots, and frontier predictions in the global research field of recycled water use. Based on 910 screened articles from the Web of Science Core Collection from 1990 to 2020, this paper visualizes and analyzes recycled water use from the perspectives of scientific output characteristics, research collaboration networks, highly cited articles and core journals, and keywords. The results indicate that research interest in recycled water use is on the rise. Authoritative experts, high-impact institutions, and core journals are also identified. The study shows that water resources management, public health, and public acceptance are all hot topics and frontiers of research. This study provides valuable guidance for researchers to support recycled water research directions and regulatory authorities for the interest in recycled water use.

Indexed as

BibliometricsWaterHumansKnowledgePublic HealthRecyclingWaterBibliometric analysisConsumerPublic useRecycled waterWastewater

Identifiers

What OpenQuestion holds

Textmetadata
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.