Evidence map›Paper›PMID 34188380›Full record

ReviewInternational journal of yoga

Bibliometric Profile and Density Visualizing Analysis of Yoga Intervention in Type 2 Diabetes: A 44 - Year Study on Global Scientific Research Output from 1975 to 2019.

Ramya Ramamoorthi, Daniel Gahreman, Timothy Skinner, Simon Moss

Abstract readReview
In one paragraph

Review in International journal of yoga. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ramya RamamoorthiCollege of Health and Human Sciences, Charles Darwin University, Ellengowan Drive, Darwin, Northern Territory 0909, Australia.
Daniel GahremanCollege of Health and Human Sciences, Charles Darwin University, Ellengowan Drive, Darwin, Northern Territory 0909, Australia.
Timothy SkinnerDepartment of Rural Health at La Trobe University, Bendigo, Victoria, Australia.
Simon MossCollege of Health and Human Sciences, Charles Darwin University, Ellengowan Drive, Darwin, Northern Territory 0909, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the paper is to provide an in-depth evaluation of the research output of yoga intervention on type 2 diabetes mellitus from 1975 to 2019 using large-scale data analysis, bibliometric indicators, and density equalizing mapping. Data related to yoga-diabetic research, as search descriptors were retrieved using the Scopus database. The most common bibliometric indicators were annual research output, total citations, productive countries and leading authors, journals and institutions, and frequently cited articles. The number of global research articles retrieved for yoga-diabetic research over the study period 1975-2019 was 411. The growth rate of global publications in 2015-2019 is four times as high as in 1975-2003. The total number of citations for the retrieved articles was 7189, and the average number of citations per article was 23.82. Of these journals, the Journal of Alternative and Complementary Medicine has published the highest number of papers, which accounts for 2.9% of total publications. This study showed a wide variety of journals in which yoga-diabetic articles are published; these bibliometric indicators provide useful information on performance assessment of productivity and quality of research output. Therefore, this study provides a helpful reference for endocrinologists, yoga therapists, policy decision-makers, and diabetes researchers.

Indexed as

Bibliometric profilinginterventiontype 2 diabetesyoga

Identifiers

PMID34188380
PMCPMC8191225

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.