ArticleIranian journal of nursing and midwifery research
Topic Analysis of Nursing Research Using Co-Word Analysis.
Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- A bibliometric analysis of rheumatology: knowledge structure and research trends of RNA-Binding proteins in rheumatic diseases.Clinical rheumatology · 2025Review
- The past, present, and future of tumour deposits in colorectal cancer: Advancing staging for improved prognosis and treatment decision-making.Journal of cellular and molecular medicine · 2024Review
- Healthcare Management: A Bibliometric Analysis Based on the Citations of Research Articles Published between 1967 and 2020.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNursing is one of the most important areas of medical sciences whose developments including its scientific publications can influence health care. Therefore, the aim of this study was to investigate nursing articles published from 2013 to 2018, and to provide a comprehensive view of common topical clusters in this research area. MATERIALS AND
methodsIn this practical research, bibliometrics method and co-word analysis technique are used. The study population included all the articles in nursing area indexed in Web of Science from 2013 to 2018. The bibliometrics software, including BibExcel, UCINET, and SPSS was used to analyze the data.
resultsResults indicated that the most frequently used nursing words in nursing research articles were "Quality of life," "Aged," "Education," and "Nursing." Moreover, the pairs such as "Anxiety-Depression", "Education, Nursing-Students, Nursing" and "Depression--Quality of life" were the most frequent co-occurrences. The use of hierarchical clustering led to the formation of seven topical clusters in Nursing: "Nursing care for the Aged," "Self-care," "Physical, emotional, and social support, "Mother and child health," "Preventing nursing care," "Nursing profession Research," and "Quality of nursing care."
conclusionsThe growth of nursing scientific productions is an indicative of the importance of this subject area in healthcare services; however, there is no balanced growth in various subjects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.