Evidence map›Paper›PMID 34566929›Full record

ArticleFrontiers in microbiology2021

Analysis of Phenol Biodegradation in Antibiotic and Heavy Metal Resistant

Nan Xu, Chong Qiu, Qiyuan Yang, Yunzeng Zhang, Mingqi Wang, Chao Ye, Minliang Guo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 42 citations in OpenAlex.

  1. Revealing 3-hydroxybenzoate-4-hydroxylase from Pseudarthrobacter phenanthrenivorans Sphe3 via In-Cell NMR analysis and molecular cloning.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  2. Article
  3. Gene cloning, phenol-responsive transcriptional profiling and recombinant protein characterization of phenol hydroxylase in Candida tropicalis GY8.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  4. Reconstruction and Analysis of a Genome-Scale Metabolic Model ofInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Phenol Degradation byMicroorganisms · 2023
    Article
  10. Characterization and Biodegradation of Phenol byMolecules (Basel, Switzerland) · 2023
    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.

Nan XuCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Chong QiuCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Qiyuan YangCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Yunzeng ZhangCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Mingqi WangCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Chao YeSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Minliang GuoCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Yangzhou University · CNNanjing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenol is a common environmental contaminant. The purpose of this study was to isolate phenol-degrading microorganisms from wastewater in the sections of the Chinese Medicine Manufactory. The phenol-degrading

Indexed as

Acinetobacter lwoffiibioremediationheavy metalsmultidrug resistancePhenol

Identifiers

PMID34566929
PMCPMC8461059
OpenAlexW3200831182

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.