Exploring changes in depression and radiology-related publications research focus
A bibliometrics and content analysis based on natural language processing
Bibliographic Data
| ID | 15523613 |
|---|---|
| Authors | Kangtao Wang (0000-0003-0948-0277, Xiangya Hospital Central South University), Fengbo Tan (0000-0002-4330-8107, Xiangya Hospital Central South University), Zhiming Zhu (0000-0003-1035-5588, Central South University), Lingyu Kong (0000-0001-5952-005X, Xiangya Hospital Central South University, corresponding author) |
| Year | 2022 |
| Volume | 13 |
| Pages | 978763-978763 |
| Publication date | 2022-11-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2022.978763 |
| PMID | 36532194 |
| OpenAlex | W4310480134 |
| Language | EN |
| References cited | 49 |
Latent Dirichlet allocation analysis methods can be well used to analyze many texts and discover recent research trends and focus. In the past 20 years, the research on MDD and radiology has focused on exploring MDD mechanisms, establishing standards, and constructing imaging methods. Recent research focuses are "Symptoms and sleep," "Brain structure study," and "functional connectivity." New progress may be made in studies on MDD complications and the combination of brain structure and metabolism
Bibliometrics · Biology · Content (measure theory · Content analysis · Depression (economics · Focus (optics · Library science · Natural (archaeology · Natural language processing · Social science · Sociology · Computer Science · Mathematics · Medicine · Mental Health via Writing · Psychology
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| Highly cited | No |
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