Baselight

Medical Tourism Publications

1,535 Documents Covered

@kaggle.thedevastator_medical_tourism_publications_bibliometric_analys

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About this Dataset

Medical Tourism Publications


Medical Tourism Publications (Since 1952)

1,535 Documents Covered

By [source]


About this dataset

This dataset provides an extensive and informative bibliometric analysis of 1,535 medical tourism publications from the past six decades. It spans across Article, Review Papers, Book Chapters, Conference Papers, Notes and more – all of which are essential to inform researchers and professionals on the ever-growing field of medical tourism. The data is complete with Authors’ names and affiliations; abstracts of articles; author & index keywords; molecular sequences; chemicals/CAS numbers; tradenames; manufacturers & funding details associated with each publication. It presents in-depth insights into research trends in this booming field and accurately reflects the interactions between authors from different geographical regions, academic collaborations that may be formed for further academic research as well as new industry trends based on insights garnered from this study. This data set can also be adopted to aid policy makers or businesses seeking investments or entering into partnerships in medical tourism by analysing the statistics within this dataset - Volume/year relevance, cited by count & source titles to name a few – generate better strategic decisions as well as target specific companies or markets pertaining to that particular geographic region or research year group included in the data set

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How to use the dataset

Welcome to the Medical Tourism Publications Bibliometric Analysis Data dataset! In this guide, we will provide you with useful tips on how to use and interpret the data contained within this dataset so that you can maximize its potential.

Research Ideas

  • Creating a visual representation of the field of medical tourism, highlighting key activities and changes over time;
  • Using the cited by feature to measure and compare how impactful different authors, institutes, research topics are in medical tourism over time;
  • Evaluating and ranking academic institutions on their performance in the field of medical tourism using author affiliations data as well as other features such as funding details and publication stages

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Medical Tourism DataSet.csv

Column name Description
Authors The authors of the document. (String)
Title The title of the document. (String)
Year The year the document was published. (Integer)
Source title The title of the source the document was published in. (String)
Volume The volume of the source the document was published in. (Integer)
Issue The issue of the source the document was published in. (Integer)
Art. No. The article number of the document. (Integer)
Page start The starting page of the document. (Integer)
Page end The ending page of the document. (Integer)
Page count The total number of pages in the document. (Integer)
Cited by The number of times the document has been cited. (Integer)
DOI The Digital Object Identifier of the document. (String)
Link The URL link to the document. (String)
Affiliations The affiliations of the authors. (String)
Authors with affiliations The authors and their affiliations. (String)
Abstract The abstract of the document. (String)
Author Keywords The keywords associated with the document. (String)
Molecular Sequence Numbers The molecular sequence numbers associated with the document. (String)
Chemicals/CAS The chemicals/CAS numbers associated with the document. (String)
Tradenames The tradenames associated with the document. (String)
Manufacturers The manufacturers associated with the document. (String)
Funding Details The funding details associated with the document. (String)
Funding Text 1 The first funding text associated with the document. (String)
Funding Text 2 The second funding text associated with the document. (String)
References The references associated with the document. (String)
Correspondence Address The correspondence address associated with the document. (String)
Editors The editors associated with the document. (String)
Sponsors The sponsors associated with the document. (String)
Publisher The publisher associated with the document. (String)
Conference name The conference name associated with the document. (String)
Conference date The conference date associated with the document. (String)
Conference location The conference location associated with the document. (String)
Conference code The conference code associated with the document. (String)
ISSN The International Standard Serial Number associated with the document. (String)
ISBN The International Standard Book Number associated with the document. (String)
CODEN The CODEN associated with the document. (String)
Language of Original Document The language of the original document. (String)
Abbreviated Source Title The abbreviated source title associated with the document. (String)
Document Type The type of document. (String)
Publication Stage The publication stage associated with the document. (String)
Access Type The type of access to the document. (String)
Source The source of the document. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Medical Tourism Dataset

@kaggle.thedevastator_medical_tourism_publications_bibliometric_analys.medical_tourism_dataset
  • 6.47 MB
  • 1535 rows
  • 46 columns
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CREATE TABLE medical_tourism_dataset (
  "authors" VARCHAR,
  "author_s_id" VARCHAR,
  "title" VARCHAR,
  "year" BIGINT,
  "source_title" VARCHAR,
  "volume" VARCHAR,
  "issue" VARCHAR,
  "art_no" VARCHAR,
  "page_start" VARCHAR,
  "page_end" VARCHAR,
  "page_count" DOUBLE,
  "cited_by" DOUBLE,
  "doi" VARCHAR,
  "link" VARCHAR,
  "affiliations" VARCHAR,
  "authors_with_affiliations" VARCHAR,
  "abstract" VARCHAR,
  "author_keywords" VARCHAR,
  "index_keywords" VARCHAR,
  "molecular_sequence_numbers" VARCHAR,
  "chemicals_cas" VARCHAR,
  "tradenames" VARCHAR,
  "manufacturers" VARCHAR,
  "funding_details" VARCHAR,
  "funding_text_1" VARCHAR,
  "funding_text_2" VARCHAR,
  "references" VARCHAR,
  "correspondence_address" VARCHAR,
  "editors" VARCHAR,
  "sponsors" VARCHAR,
  "publisher" VARCHAR,
  "conference_name" VARCHAR,
  "conference_date" VARCHAR,
  "conference_location" VARCHAR,
  "conference_code" DOUBLE,
  "issn" VARCHAR,
  "isbn" VARCHAR,
  "coden" VARCHAR,
  "pubmed_id" DOUBLE,
  "language_of_original_document" VARCHAR,
  "abbreviated_source_title" VARCHAR,
  "document_type" VARCHAR,
  "publication_stage" VARCHAR,
  "access_type" VARCHAR,
  "source" VARCHAR,
  "eid" VARCHAR
);

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