A bibliometric analysis of global publications on flax (Linum usitatissimum L.) disease during 2001-2021
Bibliographic record
Abstract
Researchers around the world have published articles on flax (Linum usitatissimum L.) and its diseases. However, there is no bibliometric analysis of flax and its diseases in the Scopus database. The purpose of this work is to analyze the scientific results in the field of flax and its diseases and follow its evolution worldwide based on the data collected from the Scopus database. In the article, global scientific publications related to flax and its diseases were analyzed by a bibliometrician. In this study, a total of 243 articles published during 2001-2021 years were evaluated. The results show that the number of articles in the database has increased year by year, with Canada, Australia and the United States occupying the core positions, accounting for 64.6% of the total published articles worldwide. P.N. Dodds is the author with the most published articles. This paper summarizes several possible research ideas and the systematic bibliometric analysis will help research groups and researchers to understand global research trends in flax and its diseases and to focus future research. Also, results obtained in this systematic review of flax-related articles by using statistical and visual bibliometric analysis can provide important and detailed information to scientists involved in research on it.
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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: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.103 | 0.159 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".