Is COVID-19 Related to the Recent Surge in Research on Houttuynia cordata (Thunb)?
Bibliographic record
Abstract
Background of the Study: Houttuynia cordata is an herbal medicinal plant with a variety of ethnomedicinal properties.The plant extract has potent anti-inflammatory and antioxidant effects, which may help to reduce the complications associated with diabetes.Additionally, it is used as an anti-inflammation, antidote, astringent, anti-bacterial, and anti-viral.Objectives: The present study is a scientometric analysis of Houttuynia cordata during 1992-2021 as covered in the SCOPUS database to find out the citation impact, growth rate, and research output of Houttuynia cordata research during a three-decade period.Materials and Methods: SCOPUS database was used to download data for three decades.The information gathered was quantified using bibliometrics; further, VOS viewer was used for visualizing the keyword network.Results: The study revealed that from 2005 onwards, there was an increase in Houttuynia cordata research and publication.China turns out to be at the top with the maximum number of research publications on Houttuynia cordata.Pharmacology, Toxicology, and Pharmaceutics were the top subject areas that constituted the leading publication.Keywords 'Traditional Medicine' and 'Medicinal Plants' were used mainly during the year 1992-2018, however, from 2019-2021 there is a tremendous shift from the keywords such as 'Traditional Medicine' , and 'Medicinal Plants' to keywords such as 'Coronavirus' 'COVID-19' and 'Pandemic' , indicating that research on Houttuynia cordata relating to COVID-19 and Pandemic has become an extensive area of research from 2019 onwards.Conclusion: This study concludes that research on Houttuynia cordata has been slow since the early years, with a significant surge during the COVID-19 pandemic.The onset of the COVID-19 pandemic has certainly reconfirmed the relevance of Houttuynia cordata as a medicinal herb.Additionally, this study will help researchers understand the current state of the Houttuynia cordata research and can act as an information road map to further explore research on its medicinal importance which may benefit humanity in the future.
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How this classification was reachedexpand
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.030 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".