Evidence map›Paper›PMID 37965057›Full record

ArticleComputational and structural biotechnology journal2023

Genomic and phenotypic comparison of polyhydroxyalkanoates producing strains of genus

Jana Musilova, Xenie Kourilova, Kristyna Hermankova, Matej Bezdicek, Anastasiia Ieremenko, Pavel Dvorak, Stanislav Obruca, Karel Sedlar

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Jana MusilovaDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Xenie KourilovaDepartment of Food Chemistry and Biotechnology, Faculty of Chemistry, Brno University of Technology, Brno, Czech Republic.
Kristyna HermankovaDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Matej BezdicekDepartment of Internal Medicine - Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.
Anastasiia IeremenkoDepartment of Experimental Biology (Section of Microbiology, Microbial Bioengineering Laboratory), Faculty of Science, Masaryk University, Brno, Czech Republic.
Pavel DvorakDepartment of Experimental Biology (Section of Microbiology, Microbial Bioengineering Laboratory), Faculty of Science, Masaryk University, Brno, Czech Republic.
Stanislav ObrucaDepartment of Food Chemistry and Biotechnology, Faculty of Chemistry, Brno University of Technology, Brno, Czech Republic.
Karel SedlarDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Brno University of Technology · CZMasaryk University · CZUniversity Hospital Brno · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyhydroxyalkanoates (PHAs) have emerged as an environmentally friendly alternative to conventional polyesters. In this study, we present a comprehensive analysis of the genomic and phenotypic characteristics of three non-model thermophilic bacteria known for their ability to produce PHAs:

Indexed as

Caldimonasde novo assemblyDSM 15264DSM 15344TLMG 21645LMG 23380TNext-Generation Industrial BiotechnologyPHAsSchlegelella

Identifiers

PMID37965057
PMCPMC10641440
OpenAlexW4388024312

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.