<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>56(4)</volume><submitter>Gobbur A</submitter><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Active research in arthroscopy in all its domains has been transcending into evidence-backed clinical practice over years. A look-back at the research developments in arthroscopy using scientometry for the past thirty years will help the researchers identify what has been investigated so far, and what needs to be done in the future.&lt;h4>Methods&lt;/h4>We used the Web of Science-core collection database as the source for data retrieval. We used CiteSpace (5.7.R1) for scientometric and visualization analysis Visualization of the structure, regularity, and distribution of research domains in the arthroscopy was done with the analysis of the article co-citation data to mine the knowledge clustering and citation space distribution. We also analyzed the co-occurrence between the addi</pubmed_abstract><journal>Indian journal of orthopaedics</journal><pagination>521-532</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8921402</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Past, Present and Future of Arthroscopic Research: A Scientometric Analysis of Research Frontiers in Arthroscopy.</pubmed_title><pmcid>PMC8921402</pmcid><pubmed_authors>Chellamuthu G</pubmed_authors><pubmed_authors>Konkathi VK</pubmed_authors><pubmed_authors>Muthu S</pubmed_authors><pubmed_authors>Gobbur A</pubmed_authors><pubmed_authors>Jeyaraman M</pubmed_authors><pubmed_authors>Suresh Babu G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Past, Present and Future of Arthroscopic Research: A Scientometric Analysis of Research Frontiers in Arthroscopy.</name><description>&lt;h4>Purpose&lt;/h4>Active research in arthroscopy in all its domains has been transcending into evidence-backed clinical practice over years. A look-back at the research developments in arthroscopy using scientometry for the past thirty years will help the researchers identify what has been investigated so far, and what needs to be done in the future.&lt;h4>Methods&lt;/h4>We used the Web of Science-core collection database as the source for data retrieval. We used CiteSpace (5.7.R1) for scientometric and visualization analysis Visualization of the structure, regularity, and distribution of research domains in the arthroscopy was done with the analysis of the article co-citation data to mine the knowledge clustering and citation space distribution. We also analyzed the co-occurrence between the addi</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-05T08:52:34.529Z</modification><creation>2025-04-05T08:52:34.529Z</creation></dates><accession>S-EPMC8921402</accession><cross_references><pubmed>35342515</pubmed><doi>10.1007/s43465-021-00586-0</doi></cross_references></HashMap>