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Record W2889919333 · doi:10.5530/pj.2018.6.180

Glycyrrhiza glabra (Medicinal Plant) Research: A Scientometric Assessment of Global Publications Output during 1997-2016

2018· article· en· W2889919333 on OpenAlex
Gupta B. M. Gupta, KK Mueen Ahmed, Ritu Gupta

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePharmacognosy Journal · 2018
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsCitation impactScopusScientometricsCitationGlycyrrhizaChinaProductivityPolitical scienceGeographyLibrary scienceTraditional medicineMedicineEconomic growthEconomicsMEDLINEAlternative medicineComputer science

Abstract

fetched live from OpenAlex

The present study examined 3428 global publications in Glycyrrhiza glabra, as covered in multidisciplinary Scopus bibliographical database during 1997-2016, with a view to understand their growth rate, global share, citation impact, international collaborative papers share, distribution of publications by broad subjects, productivity and citation profile of top organizations and authors, preferred media of communication and bibliographic characteristics of high cited papers. The global publications registered an annual average growth rate of 10.87% and its citation impact averaged to 19.09 citations per paper. Among the top 12 most productive countries, the global share ranged from 1.87% to 19.81%, with China contributing the largest share of 19.81%, followed by India (13.71%), USA (11.84%), etc. More than 79.0% of the cumulative global publication share comes from top 12 countries during 1997-2016, showing decrease from 100.0% to 77.80% from 1997-2006 to 2007-16. Seven countries registered relative citation index above the world average of 1.10: U.K. (2.39), USA (1.87), Canada (1.71), Italy (1.51), Japan (1.49), Turkey (1.24) and Taiwan (1.18) during 1997-2016. Medicine, among seven broad subjects, contributed the largest publications share of 44.41%, followed by pharmacology, toxicology and pharmaceutics (35.04%), biochemistry, genetics and molecular biology (26.84%), agricultural and biological sciences (16.89%), chemistry (14.59%), etc. during 1997-16. Among various organizations and authors contributing to global Glycyrrhiza glabra research, the 20 most productive global organizations and authors together contributed 15.08% and 9.16% global publication share respectively and 14.57% and 16.62% global citation share respectively during 1997-16. Amongst 3322 journal papers (in 1153 journals) in global Glycyrrhiza glabra research, the top 20 most productive journals contributed 16.80% share of total journal publication output during 1997-2016. One hundred thirteen (113) publications were found to be high cited, as they registered citations from 100 to 852 during 1997-2016 and they together received 22234 citations, which averaged to 196.76 citations per paper.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.335
GPT teacher head0.574
Teacher spread0.239 · 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