Bibliometric Analysis Of Aggregated Polymers From Natural Extracts And Nanoparticles With Antimicrobial And Antifungal Activity
Why this work is in the frame
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Bibliographic record
Abstract
Research into polymers has been highlighted in recent years, due to the low cost, regulations on the use of plastics in different countries and the different applications that can be given to them, such as in medicine, as medical patches, and agro-industries, as containers for fruit storage.These materials have proven to be eco-friendly, since they are obtained mostly from organic materials that facilitate their rapid degradation and less contamination to our ecosystem.Due to the problems presented, research work on eco-friendly polymers is increasing since they are presented as a great candidate to solve them.In this research, articles, keywords, authors and countries with high-impact publications have been analyzed to show the current situation of polymer research.Using Excel and VOSViewer, the data obtained from Scopus from 2018 to March 2024 were analyzed.The purpose of carrying out this study was to perform an analysis of the development and trends of work on polymers with antimicrobial and antifungal activity, with adhesions of extracts or nanoparticles for applications in medicine, agroindustry, etc.The data showed a large number of articles in high-impact journals in the Scopus database, highlighting the group work being carried out, and also the countries in which more research is being carried out, highlighting India and China.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.000 | 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