Overview of Trends in Global Single Cell Research Based on Bibliometric Analysis and LDA Model (2009-2019)

doi:10.2478/jdis-2021-0008

Abstract

Abstract:

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 cancer diagnosis and treatment indicates that this research topic has received extensive attention in recent years. The topic distributions of some countries are relatively balanced, while for the other countries, several topics show significant superiority.
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.

Key words: LDA model, Topic evolution, Bibliometric analysis, Post-discretized, Single-cell

Jiang, Tian, Xiaoping Liu, Chao Zhang, Chuanhao Yin, and Huizhou Liu. "Overview of Trends in Global Single Cell Research Based on Bibliometric Analysis and LDA Model (2009-2019)." Journal of Data and Information Science, vol.6, no.2, 2021, pp.163-178. DOI: 10.2478/jdis-2021-0008

Figures/Tables 8

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Table 1

Topics identified by LDA model (K=20).

Topic	Potential topic	Top20 frequent terms
0	Pathology of brain disease	disease; brain; distribution; relationship; region; pattern; nucleus; age; immunohistochemistry; human brain; cortex; proportion; purpose; hippocampus; cluster; focus; rat; input; neuron; pathology
1	Mathematical modeling of cell cycle	model; type; control; mechanism; betum; datum; network; cell cycle; complexity; framework; phase; association; simulation; modeling; mouse model; differential expression; account; interplay; prediction; balance
2	Single cell detection platform	detection; imaging; platform; fluorescence; sensitivity; design; resolution; quantification; device; mass spectrometry; living; sample; measurement; spectrometry; flow; array; magnitude; capability; microfluidic device; chip
3	Immune response	single-cell level; flow cytometry; infection; biology; single-cell analysis; cytometry; host; memory; emergence; virus; pathogenesis; set; health; inflammation; immune response; immune system; complex; initiation; immunity; site
4	Signal transduction	response; activity; vivo; activation; pathway; receptor; factor; target; inhibition; phenotype; replication; inhibitor; signaling; overexpression; depletion; miRNA; kinase; zebrafish; oxygen; angiogenesis
5	Phylogeny on single cell level	sequencing; identification; protocol; diversity; genome; situ hybridization; selection; mutation; life; amplification; analysis; sequence; accuracy; family; transfer; chromosome; classification; genus; total; syndrome
6	Intracellular calcium modulation	combination; generation; increase; frequency; alpha; action; calcium; injury; channel; layer; heart; stability; difference; modulation; transmission; strength; central nervous system; ion; mu m; mechanism
7	Single cell gel electrophoresis	treatment; damage; assay; exposure; repair; stress; comparison; apoptosis; cell line; extent; risk; carcinoma; peripheral blood; kidney; glioblastoma; liver; assessment; evaluation; radiation; toxicity
8	Molecular mechanism of embryonic development	development; mouse; tissue; single-cell resolution; embryo; transcriptome; origin; stage; cell type; mapping; morphogenesis; establishment; skin; immunofluorescence; nervous system; gap; epithelium; molecular mechanism; specification; resource
9	Cell adhesion	microscopy; surface; interaction; adhesion; spectroscopy; different cell; manipulation; motility; extracellular matrix; binding; chemical; cell surface; force; substrate; bacterium; atomic force; speed; aeruginosa; spectra; spectrum
10	Isolation and sorting of single cell	single cell; range; isolation; quality; cycle; engineering; antibody; viability; delivery; screening; enrichment; field; high throughput; throughput; amount; droplet; suspension; cell viability; red blood; solution
11	Cell migration	protein; migration; rate; contrast; loss; context; absence; transition; invasion; cell division; localization; density; organism; division; cell migration; cell size; decrease; fraction; literature; core
12	Cell-to-cell variability analysis	expression; gene expression; gene; population; transcription; regulation; mRNA; evolution; variability; variation; chromatin; transcription factor; protein expression; correlation; noise; phenotypic; promoter; reporter; cell-to-cell variability; gene regulation
13	Cancer diagnosis and treatment	cancer; tumor; blood; resistance; therapy; progression; survival; breast cancer; drug; patient; metastasis; death; lung; efficacy; diagnosis; treatment; melanoma; microenvironment; cell death; persistence
14	Single cell oil	growth; production; yeast; concentration; metabolism; ratio; composition; content; reduction; source; accumulation; plant; degradation; synthesis; abundance; medium; energy; strain; recovery; oil
15	Stem cell	differentiation; vitro; stem; culture; proliferation; methylation; adult; lineage; regeneration; capacity; progenitor; stem cell; rise; pluripotent stem; fate; bone marrow; maintenance; expansion; marker; embryonic stem
16	Cellular heterogeneity analysis	analysis; single cell; heterogeneity; level; single-cell; size; cellular heterogeneity; integration; cell population; bulk; volume; chapter; acquisition; individual cell; glioma; drug discovery; cell analysis; tummy; significance; conjunction
17	Single cell living imaging	addition; potential; membrane; release; stimulation; homeostasis; secretion; situ; change; uptake; transport; cytoplasm; fluorescence microscopy; gamma; iuss; fusion; plasma membrane; phosphorylation; cell biology; real time
18	Biofilm formation	formation; structure; environment; behavior; light; body; community; form; plasticity; processing; degree; matrix; shape; nature; length; organization; adaptation; space; fixation; assembly

Table 1

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