Evidence map›Paper›PMID 39372812›Full record

ArticleDigital health

From past to digital time: Bibliometric perspective of worldwide research productivity on robotic and computer-assisted arthroplasty.

Boshen Shu, Xuehai Ou, Shaoyan Shi, Leiming Hu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Boshen ShuDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xuehai OuDepartment of Hand Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an Honghui Hospital North District, Xi'an, Shaanxi, China.
Shaoyan ShiDepartment of Hand Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an Honghui Hospital North District, Xi'an, Shaanxi, China.
Leiming HuDepartment of Hand Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an Honghui Hospital North District, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0003-3814-7772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The number of citations can be used as an impact marker of research work. This study aimed to determine and characterize the worldwide research productivity on robotic and computer-assisted arthroplasty. Methods: All accessible publications from 1992 to 2023 on robotic and computer-assisted arthroplasty from Web of Science Core Collection (WOSCC) database were recorded in August 2024. The following aspects were retrieved: cited times, name of author, keywords, institution, country, year of publication, journal, title, topic, impact factor, and H-index. VOSviewer software and Microsoft Excel were conducted to make the bibliometric research visual. The nature of our study is a systematic study and was conducted in China. Results: 1061 articles were included in our study. The total cited times were 27,461 with the average number of 26. The most productive year was 2022, with a total of 158 publications. The United States contributed the highest number of articles (n = 389, 36.66%) and the Hospital for Special Surgery (n = 53, 5.00%) held the leading institution. "Orthopedics" became the dominant topic (n = 894, 84.26%) and the latest keywords "clinical outcomes", "acetabular cup placement", and "satisfaction" have mainly appeared since 2020. Conclusions: Our analysis gives a comprehensive review of related articles on robotic and computer-assisted arthroplasty from past to future. The United States dominated studies of robotic and computer-assisted arthroplasty and a journal about arthroplasty was the most productive one. "Clinical outcomes", "Acetabular cup placement", and "Satisfaction" may become the future research hotspots.

Indexed as

arthroplastybibliometric studycomputer-assistedRobotic-assistedvisualizationVOSviewer

Identifiers

PMID39372812
PMCPMC11456188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.