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Record W4388555015 · doi:10.5530/pres.15.4.074

Is COVID-19 Related to the Recent Surge in Research on Houttuynia cordata (Thunb)?

2023· article· en· W4388555015 on OpenAlex
Poonam Singh Deo, Sweety Angelirie Kharumnuid, Moses M Naga, Hangsing P Hangsing

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePharmacognosy Research · 2023
Typearticle
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsScience North
FundersNorth-Eastern Hill University
KeywordsHouttuynia cordataTraditional medicineScopusWeb of scienceSophora flavescensAstringentBiogeosciencesGeographyMedicineBiologyMEDLINEChemistry

Abstract

fetched live from OpenAlex

Pharmacognosy Research,2023,15,4,693-704.DOI:10.5530/pres.15.4.074Published:October 2023Type:Original ArticleAuthors:Poonam Singh Deo, Sweety Angelirie Kharumnuid, Moses M. Naga, and P. Hangsing Author(s) affiliations:Poonam Singh Deo*, Sweety Angelirie Kharumnuid, Moses M. Naga, P. Hangsing Department of Library and Information Science, North Eastern Hill University, Library and Information Science, Umshing Mawkynroh, Shillong, Meghalaya, INDIA. 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. Keywords:Coronavirus, COVID-19, Houttuynia cordata, Medicinal plants, Scientometric Analysis, Traditional medicineView:PDF (1.12 MB)

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.010
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0030.013

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.

Opus teacher head0.704
GPT teacher head0.641
Teacher spread0.063 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it