A Bibliometric Analysis of Global Research on Dementia and its Cognitive Function
Bibliographic record
Abstract
Introduction: Dementia is a neurocognitive disease manifested by progressive and global declination in cognition. However, there is a lack of visualization analysis on research in the field of dementia and cognitive function. To evaluate the impact and compare the scholarly work output and productivity among organizations, bibliometrics was used. Material and methods Literature related to dementia and cognitive function were searched from Scopus database. In the area of dementia bibliometrics was used to analyze the leading authors, the journals with higher citation, higher collaboration between the countries, and keywords. Scopus analysis and Biblioshiny R-package were used in the analysis of country collaboration and global cited documents. Results: Total 1753 articles were identified from Scopus database and among these 425 articles were included in the study on basis of inclusion criteria. United states, China and Japan has the highest productivity and China, USA, Australia, Canada and Indonesia and has strong collaboration. The research hotspots in this field focused on Dementia and its impact on cognitive function. According to Lotka’s Law the studies in the field of dementia is limited and need to be conducted further. Conclusion: Dementia is a major public health issues in India and this study has thrown light on all articles which has manifested the current trends and important areas of research on dementia. After an intensive analysis the study concluded that there is still a gap in international collaboration among leading countries. In India dementia can be a research gray area and focus of future attention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.041 | 0.149 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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; both teacher heads agree on what is shown here.
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".