Evidence map›Paper›PMID 36385836›Full record

ArticleACS omega2022

Efficient Photocatalytic Dye Degradation and Bacterial Inactivation by Graphitic Carbon Nitride and Starch-Doped Magnesium Hydroxide Nanostructures.

Muhammad Ikram, Farzana Jamal, Ali Haider, Sobia Dilpazir, Tahira Shujah, Misbah Naz, Muhammad Imran, Anwar Ul-Hamid, Iram Shahzadi, Hassam Ullah and 2 more

RetractedAbstract readRetracted Publication
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Muhammad IkramSolar Cell Applications Research Lab, Department of Physics, Government College University Lahore, Lahore54000, Pakistan.ORCID https://orcid.org/0000-0001-7741-789X
Farzana JamalSolar Cell Applications Research Lab, Department of Physics, Government College University Lahore, Lahore54000, Pakistan.
Ali HaiderDepartment of Clinical Sciences, Faculty of Veterinary and Animal Sciences, Muhammad Nawaz Shareef University of Agriculture, Multan66000, Pakistan.
Sobia DilpazirDepartment of Chemistry, Comsats University, Islamabad45550, Pakistan.
Tahira ShujahDepartment of Physics, University of Central Punjab, Lahore54000, Pakistan.
Misbah NazDepartment of Chemistry, Division of Science & Technology, University of Education, Lahore54000, Pakistan.
Muhammad ImranDepartment of Chemistry, Government College University Faisalabad, Pakpattan Road, Sahiwal, Punjab57000, Pakistan.
Anwar Ul-HamidCore Research Facilities, King Fahd University of Petroleum & Minerals, Dhahran31261, Saudi Arabia.ORCID https://orcid.org/0000-0002-0259-301X
Iram ShahzadiPunjab University College of Pharmacy, University of the Punjab, Allama Iqbal Campus, Lahore54000, Pakistan.
Hassam UllahDepartment of Physics, Riphah Institute of Computing and Applied Sciences (RICAS), Riphah International University, 14 Ali Road, Lahore54000, Pakistan.
Walid NabganDepartament d'Enginyeria Química, Universitat Rovira i Virgili, Av Països Catalans 26, Tarragona43007, Spain.
Salamat AliDepartment of Physics, Riphah Institute of Computing and Applied Sciences (RICAS), Riphah International University, 14 Ali Road, Lahore54000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The removal of hazardous pollutants from water is becoming an increasingly interesting topic of research considering their impact on the environment and the ecosystem. This work was carried out to synthesize graphitic carbon nitride (g-C

Identifiers

PMID36385836
PMCPMC9648148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.