Replication data and analysis scripts for:From Clinical Technique to Interprofessional Implementation and Intelligent Integration: A Bibliometric Analysis of the Interdisciplinary Expansion of Robot-Assisted Spine Surgery

## Overview This repository contains the data, keyword thesaurus, analysis configuration files, intermediate results, and annotated scripts that support the bibliometric study described in the accompanying paper. The corpus comprises **327 publications** retrieved from the **Web of Science Core Collection** (Clarivate Analytics) on **4 February 2026**, covering the period **January 2006 through January 2026**. > **Paper:** [From Clinical Technique to Interprofessional Implementation and Intelligent Integration: A Bibliometric Analysis of the Interdisciplinary Expansion of Robot-Assisted Spine Surgery] > **Authors:** [Xiaoping Wang¹*†, Yingdi Yuan¹†, Qifei Duan¹, Youhui Wu¹,† Xiaoping Wang and Yingdi Yuan contributed equally to this work and should be considered co-first authors.] > **Journal:** [The International Journal of Medical Robotics and Computer Assisted Surgery] > **DOI:** [Paper DOI] ## Why raw Web of Science records are not included Under the Clarivate Analytics licence, downloaded bibliographic records (titles, abstracts, author addresses, cited references, etc.) may not be redistributed. Instead, every record in the corpus is uniquely identified by its **DOI** (present for 323 of 327 records) and its **Web of Science accession number (UT)**, permitting exact reconstruction of the corpus by any researcher with institutional access to WoS. The four records without DOIs are annotated in the identifier file with sufficient bibliographic detail for manual retrieval. ## Repository structure ```.├── README.md├── LICENSE│├── 01_corpus/│ ├── record_identifiers.csv 327 records: DOI, WoS UT, pub year│ └── boolean_search_strategy.txt Complete three-step Boolean query│├── 02_cleaning/│ ├── keyword_thesaurus.txt VOSviewer keyword thesaurus (45 rules)│ └── disambiguation_rules.md Rationale and categories for all merges│├── 03_config_scripts/│ ├── Figure2A_annual_trend.R R script for annual trend analysis (Fig 2A)│ ├── vosviewer_parameters.md All five VOSviewer analyses documented│ └── citespace_parameters.md Both CiteSpace analyses documented│├── 04_intermediate_data/│ ├── vosviewer_networks/ Five VOSviewer JSON network exports│ │ ├── Keyword_co-occurrence_network.json 68 items, 3 clusters│ │ ├── Co-authorship_network.json 33 items, 5 clusters│ │ ├── Cited-reference_co-citation_analysis.json 41 items, 3 clusters│ │ ├── Journal_co-citation_network.json 25 items, 3 clusters│ │ └── Bibliographic_coupling_network.json 62 items, 5 clusters│ ├── citespace_results/│ │ ├── citespace_keyword_burst.csv 21 keyword bursts (γ = 0.4)│ │ └── citespace_reference_burst.csv 25 reference bursts (γ = 1.0)│ └── bibliometrix_matrices/│ └── (Callon strategic diagram data, if applicable)│└── 05_environment/ └── sessionInfo.txt R version + package versions``` ## Software environment | Software | Version | Purpose ||---------------|------------|--------------------------------------------------------|| VOSviewer | 1.6.20 | Co-occurrence, co-authorship, co-citation, coupling || CiteSpace | 6.4.R1 | Keyword and reference burst detection || Bibliometrix | 5.0 | Callon strategic diagram, annual trend, Lotka's Law || R | 4.3.x | Statistical computing environment | ## How to reproduce the corpus 1. Open [Web of Science Core Collection](https://www.webofscience.com/).2. Execute the Boolean search strategy in `01_corpus/boolean_search_strategy.txt`.3. Filter to the publication date range January 2006 – January 2026.4. Verify the retrieved set against `01_corpus/record_identifiers.csv` (match on WoS UT).5. Export in the required format (tab-delimited for VOSviewer/CiteSpace; BibTeX for Bibliometrix). ## How to reproduce the analyses ### VOSviewer (five networks) 1. Import the WoS export into VOSviewer (v 1.6.20).2. For keyword co-occurrence: load `02_cleaning/keyword_thesaurus.txt` via **File → Thesaurus** before creating the map.3. Apply the parameters documented in `03_config_scripts/vosviewer_parameters.md`.4. The resulting networks should match the JSON files in `04_intermediate_data/vosviewer_networks/`. These can also be directly re-opened in VOSviewer via **File → Open**. ### CiteSpace (two analyses) 1. **Keyword burst** (project CO-DESC): node type = Keyword, g-index k = 10, burst γ = 0.4, minimum duration = 2 years.2. **Reference burst** (project DCA): node type = Reference, g-index k = 7, burst γ = 1.0, minimum duration = 3 years.3. Full parameter tables are in `03_config_scripts/citespace_parameters.md`. ### Annual trend analysis (Figure 2A) 1. Open `03_config_scripts/Figure2A_annual_trend.R` in RStudio.2. Update `target_wd` and `input_file` to point to your local WoS plaintext export.3. Source the script; outputs (figure + intermediate CSVs) are written to `Output/`.