Evidence map›Paper›PMID 41180867›Full record

ReviewIndian journal of microbiology2025

Exploring Wetland Microbial Communities and Processes for Enhanced Wastewater Treatment: Bibliometric Review.

Mamta Sharma, Neeta Raj Sharma, Kamal Hassan

Abstract readReview
In one paragraph

Review in Indian journal of microbiology, 2025. 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

3 authors.

Mamta SharmaSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab India.
Neeta Raj SharmaSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab India.
Kamal HassanSchool of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The generation of wastewater has surpassed the capacity of existing conventional treatment methods, creating a significant gap that requires immediate attention. The need for ecologically and economically effective decentralized wastewater treatment approaches has become increasingly apparent, especially in regions lacking resources and infrastructure. A promising solution to bridge the gap in wastewater treatment capacity is the use of natural and constructed wetlands that leverage the ability of plants and microbes to remediate contaminated water while providing sustainable solutions to address the global water crisis. The use of wetland systems presents an opportunity to sustainably manage wastewater through cost-effective and environmentally friendly means. Microorganisms play a pivotal role in these wetland systems by supporting plant growth, catalyzing chemical reactions and processes like biodegradation, bioaccumulation, and biosorption, etc. Understanding the roles of microbial communities in wetlands and their impact on pollutant removal can provide valuable insights for enhancing the treatment efficiency of wetlands. To explore functional microbial communities in these systems, a bibliometric analysis using the keywords "Wetland" and "Microorganisms" in the "Title" was performed to evaluate recent research trends and answer pertinent research questions. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-025-01496-7.

Indexed as

Bibliometric analysisConstructed wetlandFunctional microorganismsMicrobial diversityMicrobial processesNatural wetland

Identifiers

PMID41180867
PMCPMC12579100

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.