Knowledge Atlas and emerging trends on the impact of mindfulness on tumors: a bibliometric analysis
Bibliographic record
Abstract
The affliction of tumors presents a formidable health challenge all over the world. Meanwhile, the possible therapeutic effects of mindfulness on tumors are gradually being explored. This article aims to conduct a bibliometric investigation into the potential impact of mindfulness on tumors. All related publications on mindfulness and tumors were retrieved from the Web of Science Core Collection database. Bibliometric analysis tools (Biblioshiny, Citespace, VOSviewer) and Microsoft Excel were employed to draw a knowledge atlas and emerging trends by analyzing the number of articles, authors, countries/regions, institutions, journals, articles, references, and keywords. A total of 1,125 articles on mindfulness and tumors were included from 2013 to 2022, with an annual growth rate of 15.63%. Most of these articles originated from the USA, China, and Canada. Psycho-Oncology and Mindfulness are both significant journals in this field on a global scale. Carlson LE stands out as the most influential, with the highest number of publications and citations. Breast cancer is the most studied cancer in mindfulness-based interventions. Quality of life, stress reduction, depression and anxiety are hot topics of research. Mindfulness may play an valuable role in cancer treatment. Further exploration may focus on the underlying mechanisms of mindfulness on tumors. This bibliometric analysis describes the current state and hotspots in this field and provides crucial leads for future scientific strategies and research directions.
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
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: Review About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.050 | 0.074 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.028 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".