Evidence map›Paper›PMID 37102150›Full record

ArticleiScience2023

On-site applicable diagnostic fluorescent probe for fire blight bacteria.

Yuna Jung, Ji Hye Jin, Minji Jung, In Sun Hwang, Nguyen Trung Vu, Yoon Kyung Park, Na Hee Kim, Ki-Ho Park, Chang-Sik Oh, Dokyoung Kim

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

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Fluorescence Detection of Pyrene-StainedInternational journal of molecular sciences · 2026
    Article
  2. Evaluation of pathogenicity variation between twoFrontiers in microbiology · 2025
    Article
  3. Single-Cell Detection ofSensors (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

10 authors at 3 institutions in 2 countries.

Yuna JungDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Ji Hye JinDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Minji JungMedical Science Research Institute, Kyung Hee University, Seoul 02447, Republic of Korea.
In Sun HwangDepartment of Horticultural Biotechnology, College of Life Sciences, Kyung Hee University, Yongin 17104, Republic of Korea.
Nguyen Trung VuGraduate School of Green-Bio Science, Kyung Hee University, Yongin 17104, Republic of Korea.
Yoon Kyung ParkDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Na Hee KimDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Ki-Ho ParkDivision of Infectious Diseases, Department of Internal Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Chang-Sik OhDepartment of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Republic of Korea.
Dokyoung KimDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Kyung Hee University · KRKyung Hee University Medical Center · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fire blight is a representative plant infection that contaminates edible plants and causes socio-economic problems in agricultural and livestock industries globally. It is caused by the pathogen

Indexed as

MicrobiologyPlant biotechnologyPlant pathology

Identifiers

PMID37102150
PMCPMC10123346
OpenAlexW4362454683

What OpenQuestion holds

Textmetadata
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.