<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jdis-2019-0018_s_005_w2aab3b7b2b1b6b1aab1c17b1Aa"><h3>Purpose</h3><p>To reveal the research hotpots and relationship among three research hot topics in biomedicine, namely CRISPR, i PS (induced Pluripotent Stem) cell and Synthetic biology.</p></sec><sec id="j_jdis-2019-0018_s_006_w2aab3b7b2b1b6b1aab1c17b2Aa"><h3>Design/methodology/approach</h3><p>We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.</p></sec><sec id="j_jdis-2019-0018_s_007_w2aab3b7b2b1b6b1aab1c17b3Aa"><h3>Findings</h3><p>The results reveal the main research hotspots in the three topics are different, but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.</p></sec><sec id="j_jdis-2019-0018_s_008_w2aab3b7b2b1b6b1aab1c17b4Aa"><h3>Research limitations</h3><p>All analyses use keywords, without any other forms.</p></sec><sec id="j_jdis-2019-0018_s_009_w2aab3b7b2b1b6b1aab1c17b5Aa"><h3>Practical implications</h3><p>We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions, and for promoting biomedical developments.</p></sec><sec id="j_jdis-2019-0018_s_010_w2aab3b7b2b1b6b1aab1c17b6Aa"><h3>Originality/value</h3><p>We chose the core keywords in three research hot topics in biomedicine by using h-index.</p></sec></abstract>

PurposeTo reveal the research hotpots and relationship among three research hot topics in biomedicine, namely CRISPR, i PS (induced Pluripotent Stem) cell and Synthetic biology.Design/methodology/approachWe set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.FindingsThe results reveal the main research hotspots in the three topics are different, but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitationsAll analyses use keywords, without any other forms.Practical implicationsWe try to find the information distribution and structure of these three hot topics for revealing their research status and interactions, and for promoting biomedical developments.Originality/valueWe chose the core keywords in three research hot topics in biomedicine by using h-index.

A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence"}

PurposeTo reveal the research hotpots and relationship among three research hot topics in biomedicine, namely CRISPR, i PS (induced Pluripotent Stem) cell and...

A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Article Category: Research Paper

Pubblicato online: 27 dic 2019

Pagine: 13 - 25

Ricevuto: 24 set 2019

Accettato: 24 nov 2019

DOI: https://doi.org/10.2478/jdis-2019-0018

Parole chiave
Keyword co-occurrence, Network analysis, Information visualization, Biomedicine, Hot topics, CRISPR-Cas, iPS cell, Synthetic biology

© 2019 Jane H. Qin, Jean J. Wang, Fred Y. Ye, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Article Category: Research Paper

Pubblicato online: 27 dic 2019

Pagine: 13 - 25

Ricevuto: 24 set 2019

Accettato: 24 nov 2019

DOI: https://doi.org/10.2478/jdis-2019-0018

Parole chiaveKeyword co-occurrence, Network analysis, Information visualization, Biomedicine, Hot topics, CRISPR-Cas, iPS cell, Synthetic biology

© 2019 Jane H. Qin, Jean J. Wang, Fred Y. Ye, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Keyword co-occurrence, Network analysis, Information visualization, Biomedicine, Hot topics, CRISPR-Cas, iPS cell, Synthetic biology