Bibliometric analysis of rehabilitation in Alzheimer’s disease (2000–2023): trends, hotspots and prospects
Bibliographic record
Abstract
Background: Alzheimer's disease (AD) is a complex neurodegenerative disease that leads to insidious deterioration of brain functions and is considered the sixth leading cause of death in the world. Multiple studies have shown that rehabilitation therapy is becoming an important field of AD research in recent years. Objective: We opted for bibliometric analysis to comprehensively summarize the advancements in the study of AD rehabilitation treatment, aiming to provide researchers with current trends and future research directions. Methods: All articles and reviews pertaining to rehabilitation treatment in Alzheimer's disease from 2000 to 2023 were downloaded through Web of Science Core Collection. The results were subjected to bibliometric analysis using Microsoft Excel (2019 version), CiteSpace (6.3 R1 Advanced) and VOSviewer 1.6.20. Results: Overall, 1,284 publications were included. The number of publications was increasing yearly. The United States has published the most publications. University of Toronto has published the most papers of all institutions. NEUROPSYCHOLOGICAL REHABILITATION and ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION were the journals with the most studies and the most commonly cited, respectively. Clare L is the author with the highest productivity and co-citation. After analysis, the most common keywords are mild cognitive impairment, cognitive, impairment memory and executive function indicates that cognitive impairment is the main focus of research. Transcranial magnetic stimulation, cognitive rehabilitation, and physical activity/exercise are the hotspots of research at the present stage and are likely to continue. Conclusion: Distinguishing non pharmacological treatments at different stages of development is a research hotspot in AD rehabilitation; Sports intervention, brain functional imaging techniques represented by brain functional connectivity, virtual reality, and quality of life are research directions that need attention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.184 | 0.291 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".