Trends in the St. John’s wort ( <i>Hypericum perforatum</i> ) research literature: a bibliometric analysis
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: ) has been used in traditional medicine for centuries for different conditions, including kidney and lung ailments, insomnia, depression, and to aid wound healing. The objective of the present bibliometric analysis is to capture the characteristics of research publications on the topic of St. John's wort. METHODS: Searches were run on April 09, 2021, and results were exported on the same day to prevent discrepancies between daily database updates. Trends associated with this subset of publications were identified and presented. Bibliometric networks were constructed and visualized using the software tool VOSviewer. RESULTS: A total of 1,970 publications were published by 5,849 authors across 961 journals from 1859 to 2021. Beginning in the late 1990s, a steep increase was found in the volume of publication on this topic. The journal that published the largest number of publications was Phytotherapy Research. The most productive countries included Germany and the United States. CONCLUSIONS: The present study provides the characteristics of the St. John's wort literature that allows understanding of the past, present, and future of research in this area. It is a useful evidence-based framework on which to base future research actions and academic directions.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.108 |
| 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) | 0.002 | 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 it