Evidence map›Paper›PMID 38332778›Full record

ArticleFujita medical journal2024

Taxonomic classification of genus

Aki Sakurai, Masahiro Suzuki, Kengo Hayashi, Yohei Doi

Open access · greenAbstract read
In one paragraph

Article in Fujita medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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, 3 citations in OpenAlex.

  1. Article
  2. Pathogens (Basel, Switzerland) · 2024
    Review
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

4 authors at 2 institutions in 2 countries.

Aki SakuraiDepartment of Microbiology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Masahiro SuzukiDepartment of Microbiology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Kengo HayashiDepartment of Microbiology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Yohei DoiDepartment of Microbiology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Fujita Health University · JPUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Taxonomic assignment based on whole-genome sequencing data facilitates clear demarcation of species within a complex genus. Here, we applied a unique pan-genome phylogenetic method, open reading frame (ORF)-based binarized structure network analysis (OSNA), for taxonomic inference of Methods: Data from 335 publicly available Results: The phylogenetic tree constructed with OSNA successfully delineated the majority of species of the genus Conclusions: We propose that OSNA is a useful tool in predicting the taxonomic classification of complex bacterial genera.

Indexed as

AeromonasClassificationOpen Reading FramePhylogenetic InferenceWhole-Genome Sequencing

Identifiers

PMID38332778
PMCPMC10847635
OpenAlexW4394740639

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.