Evidence map›Paper›PMID 34037860›Full record

ArticleEnvironmental monitoring and assessment2021

Spatiotemporal variations in the composition of algal mats in wastewater treatment ponds of tannery industry.

Iman Dey, Sreemanti Banerjee, Rahul Bose, Ruma Pal

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 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
0.6field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Iman DeyPhycology Laboratory, Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, West Bengal, India.
Sreemanti BanerjeePhycology Laboratory, Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, West Bengal, India.
Rahul BosePhycology Laboratory, Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, West Bengal, India.
Ruma PalPhycology Laboratory, Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, West Bengal, India. rpalcu@rediffmail.com.ORCID http://orcid.org/0000-0002-8017-7222
University of Calcutta · IN

Funding

University Grants Commission UGC-Ref. No.: 723/ (CSIR-UGC NET JUNE 2017)
6 · The paper itself

Abstract

Wastewater Treatment Pond (WTP) is an effective remediation technology for economically developing nations. Although it's excessive organic and nutrient loads with higher water logging time triggers mixed and unprofitable microalgal mats. This may serve as a seeding source for Cyanobacterial bloom in receiving waterbodies. Since, to maintain the growth of desirable algal species in WTPs, understanding towards environmental regulation and algal mat composition is important, especially for tropical countries, like India. In this study, biological treatment pond (BTP) and outlet pond (OP), of a tannery effluent treatment plant in eastern coast of India, were chosen for surveying the algal community composition concerning ecological parameters. Nearly, both the ponds were polluted, but the diversity was lower in BTP due to its elevated nutrient content (Ammonia 173 mg L

Indexed as

MicroalgaeWater PurificationEnvironmental MonitoringIndiaPondsCanonical correspondence analysis (CCA)CyanobacteriaHierarchical cluster analysis (CA)Microalgal matPrincipal component analysis (PCA)Tannery wastewater treatment ponds (WTP)

Identifiers

PMID34037860
OpenAlexW3165584032

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.