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Application of bibliometrics and visualization techniques to analyze the global research status and trends of rehabilitation after arthroplasty

2019· article· en· W3032680060 on OpenAlexaboutno aff
Shui-Di Gong, Xiaoming He, Xiaolong Zheng, Fengxiang Pang, Weifeng Li, Lixin Chen, Xiaojun Chen, Ying-Shan Shen, Fan Yang, Wei He, Shaojun Liu, Qiushi Wei

Bibliographic record

VenueZhonghua guke zazhi · 2019
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationBibliometricsArthroplastyMedicineScience Citation IndexSpecialtyPhysical therapyOrthopedic surgeryBibliographic couplingCitationFamily medicineLibrary scienceSurgeryComputer science

Abstract

fetched live from OpenAlex

Objective To investigate the global research status and trends of rehabilitation after arthroplasty. Methods The Wed of Science database was used to search the publications on rehabilitation after arthroplasty from 1994 to 2018. The included publish items were statistically analyzed by bibliometrics. VOSviewer software was used to analyze the visual transformation of literature coupling (including author coupling, mechanism coupling and country coupling) and co-occurrence analysis. The research status and trends of rehabilitation after arthroplasty in recent years were analyzed and predicted. Results A total of 1 702 studies were included in the present study. The number of literatures increased year by year globally, including 612 in the United States as the top number of studies in the world. The total citation frequency (15 433 times) and H index (61) of the research publications were also the highest in the world. China (79 literatures) ranked 6th in the number of global research publications, with total citation frequency (451 times) and H index (12) ranked 14th. The number of publications published by JOURNAL OF ARTHROPLASTY and ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION on rehabilitation after arthroplasty was the highest. The University of Pittsburgh and the University of Toronto were the biggest contributors to publications on rehabilitation after arthroplasty. The theme of rehabilitation after arthroplasty can be divided into five categories: pain management, functional exercise, management, complications and clinical trials. Hospital was the main research field recently and the orthopedic specialty would become a hot research topic in the future. Conclusion According to the current global trends, rehabilitation study is deepening and the number of publications will increase continuously. The United States is the largest contributor in this area. The current researches focus on the hospital management after arthroplasty. The new type of orthopedic specialty may be the next research hotspot for arthroplasty. Key words: Bibliometrics; Arthroplasty, replacement; Rehabilitation

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.009
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.328
Teacher spread0.318 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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