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Physical therapy: A worldwide overview

2020· article· en· W3164515616 on OpenAlexaboutno aff
Igor Salinas-Sánchez, Felipe Mendoza-González, Jesús Manuel Dorador-González, Quetzalcóatl Hernández-Escobedo

Bibliographic record

VenueECORFAN Journal Republic of Paraguay · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPopulationWork (physics)Quality (philosophy)Library sciencePsychologyMedical educationMedicineSociologyPhysical therapyDemographyEngineeringComputer science

Abstract

fetched live from OpenAlex

The current population rate has increasing the number of inhabitants with some kind of disability. In this work a proposal to determining trends, research groups, authors, countries, journals and organizations about Physical Therapy has done. The study is based on the Web of Science (WoS) database, where were found 77,960 documents regarding Physical Therapy; the category with most documents published is Rehabilitation with 13%; the most prolific author is PhD Julie Fritz from the University of Utah with more 10,000 citations; the organization with the greatest number of documents is the University of Toronto; a map of the countries with most documents is presented and shows that United States of America (USA) is the number one. The top 5 of journals is leaded by Physical Therapy journal. A clustering analysis to find out groups of researchers and main keywords show that there are 38 clusters where there is a high collaboration between authors; the collaboration between organizations shows that the University of Toronto interacted with several organizations; regarding keywords, the most used is Therapy, followed by rehabilitation, physical-activity and quality of life.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.210
GPT teacher head0.463
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueECORFAN Journal Republic of ParaguaySame topicDelphi Technique in ResearchFrench-language works237,207