Evidence map›Paper›PMID 35480009›Full record

ArticleRSC advances2021

Sunlight-assisted degradation of textile pollutants and phytotoxicity evaluation using mesoporous ZnO/g-C

H Leelavathi, N Abirami, R Muralidharan, Helen P Kavitha, S Tamizharasan, S Sankeetha, R Arulmozhi

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 67 citations in OpenAlex.

  1. Dual-functional ZnO/g-CRSC advances · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Valorization of Selected Biomass-Derived Molecules onBiomimetics (Basel, Switzerland) · 2024
    Article
  6. Article
  7. ZnO QDs/GO/g-CMicromachines · 2023
    Article
  8. 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

7 authors at 2 institutions in 1 country.

H LeelavathiDepartment of Chemistry, SRM Institute of Science and Technology Kattankulathur 603203 Tamil Nadu India.
N AbiramiDepartment of Chemistry, SRM Institute of Science and Technology Kattankulathur 603203 Tamil Nadu India.ORCID https://orcid.org/0000-0002-9344-8474
R MuralidharanDepartment of Physics, Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College Avadi Chennai 600 062 Tamil Nadu India.ORCID https://orcid.org/0000-0003-1224-2325
Helen P KavithaDepartment of Chemistry, SRM Institute of Science and Technology, Ramapuram Campus Chennai 600 089 Tamil Nadu India arulmozr@srmist.edu.in.
S TamizharasanDepartment of Chemistry, SRM Institute of Science and Technology Kattankulathur 603203 Tamil Nadu India.
S SankeethaDepartment of Chemistry, SRM Institute of Science and Technology Kattankulathur 603203 Tamil Nadu India.
R ArulmozhiDepartment of Chemistry, SRM Institute of Science and Technology Kattankulathur 603203 Tamil Nadu India.ORCID https://orcid.org/0000-0002-7462-8517
SRM Institute of Science and Technology · INVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accessibility of adequate safe and fresh water for human consumption is one of the most significant issues throughout the world and extensive research is being undertaken to resolve it. Nanotechnology is now an outstanding medium for water treatment and remediation from microorganisms and organic dyes, as compared to conventional treatment methods. For this task graphitic carbon nitride (g-C

Identifiers

PMID35480009
PMCPMC9037679
OpenAlexW3188289462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.