A bibliometric analysis of microbial source tracking from Southeast Asia: Insights and trends from Scopus database (2013-2024)

Clicks: 3
ID: 284697
2025
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #825 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
This study presents a bibliometric analysis of microbial source tracking (MST) in Southeast Asia (SEA), highlighting its significance in identifying fecal contamination sources in water bodies. The study aims to evaluate publication trends, key contributors, and emerging themes within MST research from 2013 to 2024. Utilizing the PRISMA framework and Scopus database, the analysis identifies 15 relevant articles, revealing a gradual increase in MST publications, primarily driven by Thailand and international collaborations. Despite the growing body of research, MST remains underutilized in the region due to limited funding, inadequate infrastructure, and a shortage of trained professionals. The findings underscore the need for greater investment and policy support to enhance MST methodologies, improve water quality management, and address public health concerns in SEA. The study aims to inform future research directions and foster international partnerships to bridge existing knowledge gaps, ultimately contributing to effective water quality monitoring and public health strategies across the region.
Reference Key
persistent_1760653421_68f1706da72b1 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nicdao, Ma. Elisha T.
Journal Malay Journal
Year 2025
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_bio/95
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.