Evidence map›Paper›PMID 37123878›Full record

ArticleFrontiers in chemistry2023

Strontium-doped chromium oxide for RhB reduction and antibacterial activity with evidence of molecular docking analysis.

Muhammad Ikram, Anum Shahzadi, Muhammad Bilal, Ali Haider, Anwar Ul-Hamid, Walid Nabgan, Junaid Haider, Salamat Ali, Muhammad Imran

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Catalytic evaluation andRSC advances · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 4 countries.

Muhammad IkramSolar Cell Applications Research Lab, Department of Physics, Government College University Lahore, Lahore, Pakistan.
Anum ShahzadiFaculty of Pharmacy, The University of Lahore, Lahore, Pakistan.
Muhammad BilalSolar Cell Applications Research Lab, Department of Physics, Government College University Lahore, Lahore, Pakistan.
Ali HaiderDepartment of Clinical Sciences, Faculty of Veterinary and Animal Sciences, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan.
Anwar Ul-HamidCore Research Facilities, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Walid NabganDepartament d'Enginyeria Química, Universitat Rovira i Virgili, Tarragona, Spain.
Junaid HaiderChinese Academy of Sciences, Tianjin Institute of Industrial Biotechnology, Tianjin, China.
Salamat AliDepartment of Physics, The University of Lahore, Lahore, Pakistan.
Muhammad ImranGovernment College University Faisalabad, Sahiwal, Punjab, Pakistan.
Government College University, Lahore · PKUniversidad Rovira i Virgili · ESUniversity of Lahore · PKGovernment College University, Faisalabad · PKKing Fahd University of Petroleum and Minerals · SAMuhammad Nawaz Shareef University of Agriculture · PKTianjin Institute of Industrial Biotechnology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of multi-drug resistance (MDR) in aquatic pathogens and the presence of cationic dyes are the leading causes of water contamination on a global scale. In this context, nanotechnology holds immense promise for utilizing various nanomaterials with catalytic and antibacterial properties. This study aimed to evaluate the catalytic and bactericidal potential of undoped and Sr-doped Cr

Indexed as

antibacterialCr2O3dye degradationMDR E. coliRhB

Identifiers

PMID37123878
PMCPMC10133565
OpenAlexW4365449079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.