A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells

Hu, Zhengyin; Zeng, Rong-Qiang; Qin, Xiaochun; Wei, Ling; Zhi-qiang, Zhang

doi:10.1007/978-3-319-96133-0_29

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…The study of stem cells – a type of biological cell capable of self-renewal and multidirectional differentiation – is an important topic in biomedical research. Because of their importance and high potential for development in disease treatments and regenerative medicine, stem cells have drawn global attention in the life sciences and medical research fields [126]. The literature on stem-cell research was selected as a testbed to demonstrate the approach proposed in this article.…”

Section: Empirical Analysismentioning

confidence: 99%

Breakthrough potential of emerging research topics based on citation diffusion features

Winnink

Pang

et al. 2022

Journal of Information Science

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This article uses the characteristics of citation curves in emerging research topics (ERTs) and combines them with the ERTs’ knowledge bases to draw conclusions by comparing their development patterns. The goal of this study is to enrich the toolset for predicting breakthroughs in scientific research. A set of multidimensional and practical bibliometric indicators is used to identify ERTs, to further identify the knowledge bases of ERTs and construct citation curves for both ERTs and their knowledge bases. The development trends of the citation curves of ERTs and their knowledge bases in different time periods are compared and analysed from two dimensions: knowledge transition and continuous growth. We use the field of stem cell research to test our method. Based on the outcome of the analysis, we can assess the breakthrough potential of ERTs. The stratification, transition and recent changes of the citation curve can be used as a basis for analysing and assessing the ERTs’ breakthrough potential. The combination of different citation diffusion patterns of ERTs and their knowledge bases can improve the effectiveness of identifying ERTs that can become breakthrough innovations.

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Section: Empirical Analysismentioning

confidence: 99%

Breakthrough potential of emerging research topics based on citation diffusion features

Winnink

Pang

et al. 2022

Journal of Information Science

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“…Figure 3 shows a visualization of the tri-layer (using a procedure developed in one of our pilot studies on knowledge discovery in biomedical research-see Hu et al (2018)), which helped us to analyze the situation more deeply. It is clear that "affect," "provide," "present," "promote," and "construct" are the top five clumps.…”

Section: Community Detection For Identifying Key Problems and Solutionsmentioning

confidence: 99%

Profiling and predicting the problem-solving patterns in China’s research systems: A methodology of intelligent bibliometrics and empirical insights

Zhang

et al. 2021

Quantitative Science Studies

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Uncovering the driving forces, strategic landscapes, and evolutionary mechanisms of China’s research systems is attracting rising interest around the globe. One topic of interest is to understand the problem-solving patterns in China’s research systems now and in the future. Targeting a set of high-quality research articles published by Chinese researchers between 2009 and 2018, and indexed in the Essential Science Indicators database, we developed an intelligent bibliometrics-based methodology for identifying the problem-solving patterns from scientific documents. Specifically, science overlay maps incorporating link prediction were used to profile China’s disciplinary interactions and predict potential cross-disciplinary innovation at a macro level. We proposed a function incorporating word embedding techniques to represent subjects, actions, and objects (SAO) retrieved from combined titles and abstracts into vectors and constructed a tri-layer SAO network to visualize SAOs and their semantic relationships. Then, at a micro level, we developed network analytics for identifying problems and solutions from the SAO network, and recommending potential solutions for existing problems. Empirical insights derived from this study provide clues to understand China’s research strengths and the science policies underlying them, along with the key research problems and solutions that Chinese researchers are focusing on now and might pursue in the future.

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Discovering Emerging Research Topics Based on SPO Predications

Zeng

Lin

et al. 2019

Communications in Computer and Information Science

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A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells

Cited by 5 publications

References 10 publications

Breakthrough potential of emerging research topics based on citation diffusion features

Breakthrough potential of emerging research topics based on citation diffusion features

Profiling and predicting the problem-solving patterns in China’s research systems: A methodology of intelligent bibliometrics and empirical insights

Discovering Emerging Research Topics Based on SPO Predications

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