Analysis of dementia research trends in nursing using text mining approach

dc.contributor.authorAtay, Eda
dc.contributor.authorBahadır Yılmaz, Emel
dc.contributor.authorAtay, Metehan
dc.date.accessioned2024-03-13T12:16:58Z
dc.date.available2024-03-13T12:16:58Z
dc.date.issued2024en_US
dc.departmentHKÜ, Sağlık Bilimleri Fakültesi, Hemşirelik Bölümüen_US
dc.description.abstractThis research aimed to analyze dementia research trends in nursing using a text mining approach. In this study, text mining approach was used to analyze the studies on dementia in the field of nursing around the world. In this study, summaries of all available publications in English between the years 1990–2023 were extracted from the database and transferred to an Excel table by using the ‘Nursing’ AND ‘Dementia’ query from the Thomson Reuters-ISI Web of Science database. According to the results of this research, a total of 21 concept groups were identified, four of which were the most important. It was determined that the most frequently used word in all of the studies obtained from the database was ‘cost’. In this direction, scientific research on dementia in the field of nursing can be planned by evaluating the most frequently used concepts. © 2024 Japanese Psychogeriatric Society.en_US
dc.identifier.citationAtay E., Bahadir Yilmaz E. & Atay M. (2024). Analysis of dementia research trends in nursing using text mining approach. Psychogeriatrics. https://doi.org/10.1111/psyg.13097.en_US
dc.identifier.doi10.1111/psyg.13097
dc.identifier.issn13463500
dc.identifier.orcid0000-0003-2592-8254en_US
dc.identifier.pmid38403288
dc.identifier.scopus2-s2.0-85186448669
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1111/psyg.13097
dc.identifier.urihttps://hdl.handle.net/20.500.11782/4236
dc.identifier.wosWOS:001172781400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherJohn Wiley and Sons Incen_US
dc.relation.ispartofPsychogeriatrics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.subjectdata miningen_US
dc.subjectdementiaen_US
dc.subjectnursingen_US
dc.subjectresearch trendsen_US
dc.titleAnalysis of dementia research trends in nursing using text mining approach
dc.typeArticle

Dosyalar

Orijinal paket

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
101111psyg13097.pdf
Boyut:
2.41 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası

Lisans paketi

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: