Evidence map›Paper›PMID 42581722›Full record

ArticleJournal of Korean biological nursing science2026

A descriptive and bibliometric trend analysis of biological nursing research in the Journal of Korean Biological Nursing Science (2011-2025).

Hohyun Seong, Sungwon Lim, Jae Sim Jeong, Gyeong Ju An, Youn-Jung Kim

Abstract read
In one paragraph

Article in Journal of Korean biological nursing science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hohyun SeongCollege of Nursing, Chonnam National University, Gwangju, Korea.
Sungwon LimDepartment of Nursing, Dongguk University WISE, Gyeongju, Korea.
Jae Sim JeongDepartment of Clinical Nursing, Graduate School of Industry, University of Ulsan, Ulsan, Korea.
Gyeong Ju AnDepartment of Nursing, Cheongju University, Cheongju, Korea.
Youn-Jung KimCollege of Nursing Science, Kyung Hee University, Seoul, Korea.

Funding

Korean Society of Biological Nursing Science
6 · The paper itself

Abstract

purposeThis study provides an updated analysis of research trends in the Journal of Korean Biological Nursing Science (JKBNS) by examining changes in publication volume, methodological approaches, and thematic evolution among articles published between 2011 and 2025.

methodsRetrospective descriptive and bibliometric analyses were conducted on 537 articles published in JKBNS. Publication characteristics and statistical methods were summarized, and annual trends were examined. Keyword co-occurrence networks were generated using VOSviewer, and changes in research topics over time were explored using burst keyword analysis based on abstract-derived keywords.

resultsAnnual publication volume fluctuated but increased markedly in recent years, rising from 35 articles in 2024 to 58 articles in 2025. A language crossover occurred in 2024, when English-language articles (n = 19, 54.3%) exceeded Korean-language articles (n = 16, 45.7%); this predominance of English-language articles became more evident in 2025 (n = 36, 62.1%). Adult patients were the most common study population (n = 127, 23.7%). Analysis of variance was the most frequently used statistical method (n = 236, 43.9%), followed by linear regression (n = 84, 15.6%) and logistic regression (n = 59, 11.0%). Burst keyword analysis highlighted recent increases in aging- and health behavior-related terms. Co-occurrence mapping identified interconnected thematic areas spanning health behavior and risk, nursing knowledge and practice, and biologically oriented research.

conclusionBetween 2011 and 2025, JKBNS demonstrated growth in publication volume, a shift toward English-language articles, and evolving research topics, while maintaining thematic continuity with its biological orientation.

Indexed as

BibliometricsBiological science disciplinesCluster analysisNursing research

Identifiers

PMID42581722
PMCPMC13463012

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.