Overview of Trends in Global Single Cell Research Based on Bibliometric Analysis and LDA Model (2009–2019)
Article Category: Research Paper
Pubblicato online: 27 nov 2020
Pagine: 163 - 178
Ricevuto: 08 set 2020
Accettato: 23 ott 2020
DOI: https://doi.org/10.2478/jdis-2021-0008
Parole chiave
© 2021 Tian Jiang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Purpose
This article aims to describe the global research profile and the development trends of single cell research from the perspective of bibliometric analysis and semantic mining.
Design/methodology/approach
The literatures on single cell research were extracted from Clarivate Analytic's Web of Science Core Collection between 2009 and 2019. Firstly, bibliometric analyses were performed with Thomson Data Analyzer (TDA). Secondly, topic identification and evolution trends of single cell research was conducted through the LDA topic model. Thirdly, taking the post-discretized method which is used for topic evolution analysis for reference, the topics were also be dispersed to countries to detect the spatial distribution.
Findings
The publication of single cell research shows significantly increasing tendency in the last decade. The topics of single cell research field can be divided into three categories, which respectively refers to single cell research methods, mechanism of biological process, and clinical application of single cell technologies. The different trends of these categories indicate that technological innovation drives the development of applied research. The continuous and rapid growth of the topic strength in the field of
Research limitations
The analyzed data of this study only contain those were included in the Web of Science Core Collection.
Practical implications
This study provides insights into the research progress regarding single cell field and identifies the most concerned topics which reflect potential opportunities and challenges. The national topic distribution analysis based on the post-discretized analysis method extends topic analysis from time dimension to space dimension.
Originality/value
This paper combines bibliometric analysis and LDA model to analyze the evolution trends of single cell research field. The method of extending post-discretized analysis from time dimension to space dimension is distinctive and insightful.